{"id":20432,"date":"2024-11-25T22:36:47","date_gmt":"2024-11-25T22:36:47","guid":{"rendered":"https:\/\/africanew.ifpri.info\/datasets\/"},"modified":"2025-01-28T15:10:50","modified_gmt":"2025-01-28T15:10:50","slug":"datasets","status":"publish","type":"page","link":"https:\/\/africa.ifpri.info\/fr\/datasets\/","title":{"rendered":"DONN\u00c9ES"},"content":{"rendered":"<div class=\"ifpriResourcesListBlock is-layout-flow wp-block-ifpri-resources-is-layout-flow\" class=\"wp-block-ifpri-outputs-ifpri-resources\">\n<div class=\"display regular ifpriResourcesListBlock\">\n<div class=\"totalAndSorting\">\n<div class=\"numberRecordsDisplay\">Displaying 100 records<\/div>\n<div class=\"resultsSort\">\n<form class=\"resourcesResultsSort\" action=\"https:\/\/africa.ifpri.info\/fr\/datasets\/\" method=\"POST\"><select class=\"resources_sortSelect\" name=\"order_recs\" value=\"sortdate\"><option class=\"res_sorting\" value=\"sortdate\">By date<\/option><option class=\"res_sorting\" value=\"sorttitle\">By title<\/option><option class=\"res_sorting\" value=\"sorttype\">By type<\/option><\/select><span class=\"resultsReverse\"><\/span> <\/form>\n<\/p><\/div>\n<\/div>\n<div class=\"ifResCitPaging ifResCitPagingT\">\n<div class=\"ifres_list_citations_btn ifResBtn ifResBtn dashicons dashicons-plus-alt\" data-allcitations=\"International Food Policy Research Institute (IFPRI). 2026. Impact of Climate Change on Cost and Cost Efficiency of Solar Irrigation in Sub-Saharan Africa. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/SN5BOJ. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Replication Data for \"Rural Credit, Food Security, and Resilience: An Empirical Evaluation from Kenya\". Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/OBZUCX. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Replication Data for \u201cAssessing Multicountry Programs Through a \u201cReach, Benefit, Empower, Transform\u201d Lens\u201d. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/WIZ1PY. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute. 2025. FAIR-Ready Socioeconomic Data from the Nature+ Quantitative Baseline Household and Worker Survey in Kenya. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/IU9BJT. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. The Effects of a Secondary School Scholarship on School Progression and Youth Outcomes: Baseline Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/DOVZNY. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Economic Inclusion Program Cohort 2 in Kenya: Baseline Household Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/0HCFQN. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. 2023 Social Accounting Matrix for Kenya. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/4CNPIE. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Financial Feasibility Maps of Solar Irrigation Under Climate Change in Africa. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/J0Q9TO. Harvard Dataverse. Version 3.\n\nInternational Food Policy Research Institute (IFPRI). 2025. FRESH End-to-End Approach Evaluation in Tanzania: Baseline Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/5KLDV6. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Ultra-poor Graduation Midline Survey in Somalia, 2023. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/207AK5. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Ultra-poor Graduation Endline Survey in Somalia, 2024. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/4QFPA7. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Food Security Simulator \u2013 Malawi. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/YOWPV9. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. 2024 Social Accounting Matrix for Egypt. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/OSMX3D. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. 2023 Social Accounting Matrix for Sierra Leone. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/LSMGLL. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Aflatoxin Surveillance in Kenya. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/XGNOD4. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. 2018 Social Accounting Matrix for Rwanda. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/VO8EYG. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Global Gridded Data on Climate Impact on Yields From DSSAT Crop Model, 2005\u20132050. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/MXJDUC. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. HER+ Sustainable Land Management Trial in Ethiopia: Endline Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/BELDFL. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. HER+ Sustainable Land Management Trial in Ethiopia: Baseline Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/8KASCK. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. SELEVER study: Second follow-up survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/X7RRHL. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. SELEVER study: Endline survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/E7QTZZ. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. SELEVER study: First follow-up survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/SFGXCE. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. SELEVER study: Baseline survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/M4BTGB. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Replication data for \"Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia\". Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/CNLIJO. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Baseline Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/U7DP3C. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Integrated and enhanced dataset on food security and household coping strategies of Mali (2018-2023). Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/NNAYAM. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Integrated and enhanced dataset on food security and household coping strategies of Burkina Faso (2018-2023). Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/IPDCDQ. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Integrated and enhanced dataset on food security and household coping strategies of Niger (2018-2023). Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/SWJOEN. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Integrated and enhanced dataset on food security and household coping strategies of Chad (2018-2023). Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/SQA143. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Replication Data for \"Fertilizer Policy Reforms in the Midst of Crisis: Evidence from Rwanda\". Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/SMGIBM. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI); Massachusetts Institute of Technology (MIT). 2024. Simulated Future Climates for Ethiopia Using MIT-IGSM HFDs Based on CMIP5. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/THC08J. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot, Follow-up 2. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/AVZSE3. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. SPIR II Group Problem Management Plus (gPM+) Baseline Survey in Tigray, Ethiopia. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/U2YUP0. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot, Follow-up 1. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/ZPFK7E. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. Irrigation technologies, Use of Solar Pumps and Gendered Impacts. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/JAWBMQ. Harvard Dataverse. Version 1.0\n\nInternational Food Policy Research Institute (IFPRI). 2024. Food Security Simulator \u2013 Ethiopia. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/LVOLEP. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. 2022 Social Accounting Matrix for Ethiopia. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/UNGXIW. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. 2022 Social Accounting Matrix for Ghana. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/OPGYHL. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. 2022 Social Accounting Matrix for Malawi. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/RX3FYD. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI); Kula Vyema Centre (KVC). 2024. Nature+ Quantitative Baseline Household & Worker Survey, Kenya. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/QFQURF. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. 2022 Social Accounting Matrix for Tanzania. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/CFYF98. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. 2021 Social Accounting Matrix for Sudan. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/IKW7UT. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. 2022 Social Accounting Matrix for Uganda. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/LKK29W. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. 2022 Social Accounting Matrix for Rwanda. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/JRLHAT. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. Survey of Micro, Small, and Medium Enterprises in Agri-Food Value Chains: Network-Based Recruitment Approach in Uganda. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/EXJKYH. Harvard Dataverse. Version 1.\n\nInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT). 2022. Drivers of Pigeon Peas Consumption Among School Aged Children in Central Tanzania. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/VFF2EE. Harvard Dataverse. Version 1.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Generalized Livelihoods Self-efficacy Scale. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/KVKUS4. Harvard Dataverse. Version 3.\n\nInternational Food Policy Research Institute (IFPRI). 2023. Project-Level Women\u2019s Empowerment in Agriculture Index for Market Inclusion (Pro-weai+MI): Malawi Case Study. Washington, DC: IFPRI [Dataset]. https:\/\/doi.org\/10.7910\/DVN\/QQABTY. Harvard Dataverse. Version 1.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Cognitive Labor. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/FPQUCV. Harvard Dataverse. Version 3.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Time-use Agency. Washington, DC: International Food Policy Research Institute (IFPRI) [Survey Instrument]. https:\/\/doi.org\/10.7910\/DVN\/KKJBLW. Harvard Dataverse, V2\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Collective Agency. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/NHWJSJ. Harvard Dataverse. Version 2.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Motivational Autonomy and Internalized Norms. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/M9SQSS. Harvard Dataverse. Version 3.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Gender Inequality: Critical Consciousness Scale. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/EZ2BJF. Harvard Dataverse. Version 3.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Short-form Locus of Control Scale. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/IDCTVE. Harvard Dataverse. Version 2.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Gender and Occupation: Automatic Cognition Test. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/Y5JWAI. Harvard Dataverse. Version 3.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Valuation of Time and Money. Washington, DC: International Food Policy Research Institute (IFPRI) [Survey Instrument]. https:\/\/doi.org\/10.7910\/DVN\/TEJRWT. Harvard Dataverse. Version 3.0\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Algorithmic Assessment of Agency. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/IXQ7KW. Harvard Dataverse. Version 2.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Agricultural Self-efficacy Scale. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/FSKWIY. Harvard Dataverse. Version 2.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Unpacking Joint Decision-making. Washington, DC: International Food Policy Research Institute [Survey Instrument]. https:\/\/doi.org\/10.7910\/DVN\/ZTWQAL. Harvard Dataverse. Version 2.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Intra-personal Conflict Strategies. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/LY4OZN. Harvard Dataverse. Version 2.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Preferences Over Decision-Making. Washington, DC: International Food Policy Research Institute (IFPRI). https:\/\/doi.org\/10.7910\/DVN\/M6F0UX. Harvard Dataverse. Version 3.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Enumerator Characteristics and Reporting Bias. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/1WKIYN. Harvard Dataverse. Version 3.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Rights when Land is Owned Jointly. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/4BASAU. Harvard Dataverse. Version 2.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Bandwidth Depletion. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/XYEYKK. Harvard Dataverse. Version 2.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Goal-setting Capacity Scale. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/3XWMDV. Harvard Dataverse. Version 3.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Asset Rights Upon Marriage Dissolution. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/HJFRRC. Harvard Dataverse. Version 2.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Asset Control and Benefits Scale. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/IXQ7KW. Harvard Dataverse. Version 2.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Understanding the Meanings of Ownership. Washington, DC: IFPRI [Survey Instrument]. https:\/\/doi.org\/10.7910\/DVN\/VM4PJY, Harvard Dataverse. Version 2.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Resistance and Backlash. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/ECYU6B. Harvard Dataverse. Version 2.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Preferences Over Joint vs. Individual Asset Rights. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/LGN0M8. Harvard Dataverse. Version 3.\n\nInternational Food Policy Research Institute (IFPRI). 2024. ACLED Conflict Index G5 Sahel (2018-2023). Washington, DC: IFPRI [dataset]. Harvard Dataverse. Version 1. https:\/\/hdl.handle.net\/10568\/139799\n\nInternational Food Policy Research Institute (IFPRI). 2024. Ethiopia Feed the Future Innovation Lab for Small-Scale Irrigation (ILSSI) Endline Survey, 2017. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/SSFGDG. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. Tanzania Feed the Future Innovation Lab for Small-Scale Irrigation (ILSSI) Endline Survey, 2017. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/A6GQIO. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. Smallholder Agriculture Commercialization in Rwanda, 2022. Washington, DC: IFPRI [Dataset]. https:\/\/doi.org\/10.7910\/DVN\/X82ADO. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2023. 2021 Social Accounting Matrix for Nigeria. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/095UBP. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. Ghana Feed the Future Innovation Lab for Small-Scale Irrigation (ILSSI) Endline Survey, 2017. Washington, DC: IFPRI [Dataset]. https:\/\/doi.org\/10.7910\/DVN\/AHVXHQ. Harvard Dataverse.Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2023. Ghana Feed the Future Innovation Lab for Small-Scale Irrigation (ILSSI) Baseline Survey, 2015. Washington, DC: IFPRI [Dataset]. https:\/\/doi.org\/10.7910\/DVN\/7E7LG7. Harvard Dataverse. Version 1.\n\nGurmu, M., Feleke, S., Abdoulaye, T., Andam, K. & Adeyemo, T. (2024). Dataset on the impact of biofortified cassava in Nigeria: assessment of livelihood outcomes in Nigeria. Ibadan, Nigeria: IITA.\n\nInternational Food Policy Research Institute (IFPRI). 2023. Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot Screening Survey. Washington, DC: IFPRI [Dataset]. https:\/\/doi.org\/10.7910\/DVN\/MMA9XB. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2023. Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot Baseline Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/8JFUAA. Harvard Dataverse. Version 2.\n\nInternational Food Policy Research Institute (IFPRI). 2023. Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot Screening Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/MMA9XB. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2023. A&T Burkina Faso Maternal Nutrition Endline Survey 2021: Agent de sant\u00e9 Communautaire (ASBC). Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/YNWMFH. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2022. COVID-19 Impact on Rural Men and Women in Rwanda, Round 1. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/FSSHMK. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2022. COVID-19 Impact on Rural Men and Women in Rwanda, Round 2. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/J6EAD6. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2023. Strengthen PSNP4 Institutions and Resilience (SPIR), Ethiopia: Baseline Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/NYTIMZ. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI); University for Development Studies (UDS), Tamale, Ghana. 2024. Replication Data for \"Estimating the Intrahousehold Costs and Benefits of Innovations to Enhance Smallholder Farmers\u2019 Resilience.\" Washington, DC: IFPRI [Dataset]. https:\/\/doi.org\/10.7910\/DVN\/V4TDAF. Harvard Dataverse. Version 2.\n\nInternational Food Policy Research Institute (IFPRI). 2023. Replication Data for \"Measuring Consumption Over the Phone: Evidence From a Survey Experiment in Urban Ethiopia.\" Washington, DC: IFPRI. https:\/\/doi.org\/10.7910\/DVN\/1YUM6H. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2023. Survey on Gendered Constraints to Employment and Entrepreneurship, Lesotho. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/VBDO8K. Harvard Dataverse. Version 1.\n\nInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT). 2023. Survey of Land and Water Management Practices Over Time on the Productivity and Economic Benefits of Cereal Crops. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/HIMC9V. Harvard Dataverse. Version 1.\n\nAssociation Malienne d'\u00e9veil au D\u00e9veloppement Durable (AMEDD). 2023. GIS Mapping of Implemented Technologies across Different Agro-Ecologies and Demographic Settings to Help Evaluation of Adoption Practices. Washington, DC: International Food Policy Research Institute (IFPRI) [Dataset]. https:\/\/doi.org\/10.7910\/DVN\/HGEW9Q. Harvard Dataverse. Version 1.\n\nInternational Institute of Tropical Agriculture (IITA). 2023. Implications of Residue Quantity and Quality on Rotational Maize Productivity. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/UJIPSW. Harvard Dataverse. Version 1.\n\nInternational Livestock Research Institute (ILRI). 2023. Perceived Effect of Feed-Health Intervention for Improved Small Ruminant Production on Gender and Household Nutrition in Koutiala District. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/N8AF8A. Harvard Dataverse. Version 1.\n\nInternational Institute of Tropical Agriculture (IITA). 2023. Assessing the Effect of Residue Quantity and Quality, and Water Conservation on Maize Productivity and Nitrogen Dynamics on Smallholder Farms in Malawi. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/1A6WMD. Harvard Dataverse. Version 1.\n\nInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT). 2023. Intensification of Maize-Legume Based Systems in the Semi-Arid Areas of Tanzania. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/LPDFCC. Harvard Dataverse. Version 1.\n\nTanzania Agricultural Research Institute (TARI); International Institute of Tropical Agriculture (IITA); University of Dodoma. 2023. Validation of Residual Tied Ridging Insitu Rainwater Harvesting Labor Saving Technology in Semi-Arid Areas of Central Tanzania. Washington, DC: International Food Policy Research Institute. https:\/\/doi.org\/10.7910\/DVN\/JKIU3B. Harvard Dataverse. Version 1.\n\nTanzania Agricultural Research Institute (TARI). 2021. Use of Tractor Mounted Ripper Tillage Implement for Enhancing Soil Water Infiltration and Moisture Conservation in Semi-Arid Areas of Kiteto, Manyara Region. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/CWYN3Q. Harvard Dataverse. Version 1.\n\nTanzania Agricultural Research Institute (TARI); International Institute of Tropical Agriculture (IITA); University of Dodoma. 2023. Validation of Residual Tied Ridging Insitu Rainwater Harvesting Labor Saving Technology in Semi-Arid Areas of Central Tanzania. https:\/\/doi.org\/10.7910\/DVN\/JKIU3B. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2023. A&T Ethiopia Maternal Nutrition Endline Survey 2021: Antenatal Care (ANC) Observation. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/PGNVSY. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2023. 2019 Social Accounting Matrix for Malawi. Washington, DC: IFPRI [Dataset]. https:\/\/doi.org\/10.7910\/DVN\/C9WA0I. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2023. A&T Ethiopia Adolescent Nutrition Endline Survey 2021: Health Extension Worker. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/PQ1O5B. Harvard Dataverse. Version 1.\n\n\"> <span title=\"Click to copy all citations in the above list to your clipboard\">Copy all 100 citations<\/span><\/div>\n<\/div>\n<section class=\"resourcesOutsideWrapper ifResListView\" >\n<div class=\"globalIfResStyle resourcesOutputsWrapper switchLayoutsSel list portrait  visible\"  data-pagingnumber=\"\">\n<div class=\"resourcesDisplaySection resourcesOutputsInnerWrapper list\"  data-pagingnumber=\"\">\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Sub-saharan Africa;Irrigation;Solar Energy;Renewable Energy;Food Production;Energy Sources;Costs;Groundwater;Dataset;2026;u7Rv-g-e;\" data-sorttitle=\"ImpactofClimateChangeonCostandCostEfficiencyofSolarIrrigationinSub-SaharanAfrica\" data-sortdate=\"2026\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_181301\">Impact of Climate Change on Cost and Cost Efficiency of Solar Irrigation in Sub-Saharan Africa<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2026<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_181301\">Details<\/button><dialog id=\"dialog10568_181301\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_181301\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Impact of Climate Change on Cost and Cost Efficiency of Solar Irrigation in Sub-Saharan Africa<\/h4>\n<p class=\"ifResourcesAbstractA\">This dataset contains output data of IFPRI's solar irrigation sizing and cost estimation model which show the impact of climate change on investment cost of adopting stand-alone solar irrigation system and its cost efficiency relative to diesel irrigation system over Sub-Saharan African region.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2026<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/181301\">International Food Policy Research Institute (IFPRI). 2026. Impact of Climate Change on Cost and Cost Efficiency of Solar Irrigation in Sub-Saharan Africa. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/SN5BOJ. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/181301\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Sub-saharan Africa; Irrigation; Solar Energy; Renewable Energy; Food Production; Energy Sources; Costs; Groundwater<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/sn5boj\" target=\"_blank\" data-identifier =\"10568\/181301\">https:\/\/doi.org\/10.7910\/dvn\/sn5boj<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/181301\" target=\"_blank\" data-identifier =\"10568\/181301\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>NEXUS Gains<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Eastern Africa;Sub-saharan Africa;Financial Inclusion;Agricultural Credit;Insurance;Climate Change;Resilience;Food Security;Agriculture;Kenya;Dataset;2025;\" data-sorttitle=\"ReplicationDatafor\"RuralCredit,FoodSecurity,andResilience:AnEmpiricalEvaluationfromKeny\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_181295\">Replication Data for \"Rural Credit, Food Security, and Resilience: An Empirical Evaluation from Kenya\"<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_181295\">Details<\/button><dialog id=\"dialog10568_181295\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_181295\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Replication Data for \"Rural Credit, Food Security, and Resilience: An Empirical Evaluation from Kenya\"<\/h4>\n<p class=\"ifResourcesAbstractA\">This dataset contains replication data and code for the study \"Rural Credit, Food Security, and Resilience: An Empirical Evaluation from Kenya.\" The study draws on panel data from three rounds of household surveys conducted between 2017 and 2020 in Machakos County, Kenya, as part of a randomized controlled trial evaluating the impact of two credit productsRisk Contingent Credit (RCC) and standard Traditional Credit (TC). A total of 1,053 households were evenly randomized into RCC, TC, and control groups.<\/p>\n<p>Surveys were administered using structured, pretested questionnaires. The baseline and midline surveys were conducted through face-to-face interviews, while the endline surveydelayed due to the COVID-19 pandemicwas conducted via phone interviews. All survey waves were implemented electronically using computer-assisted personal interviewing (CAPI) tools.<\/p>\n<p>Each survey wave included detailed modules on household demographics, food consumption and expenditures, access to and use of financial services, credit constraints, and experiences of shocks and coping mechanisms.<\/p>\n<p>The RCC intervention featured an index-based insurance component triggered by low rainfall, modeled using historical dekadal rainfall data and Monte Carlo simulations. The study employed a multistage, stratified sampling design targeting rural households across selected sub-counties, in collaboration with Equity Bank and local administrators.<\/p>\n<p>This dataset enables replication of the studys findings and supports further research on the role of credit product design in enhancing food security and resilience among smallholder farmers in semi-arid regions.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/181295\">International Food Policy Research Institute (IFPRI). 2025. Replication Data for \"Rural Credit, Food Security, and Resilience: An Empirical Evaluation from Kenya\". Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/OBZUCX. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/181295\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Kenya<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Eastern Africa; Sub-saharan Africa; Financial Inclusion; Agricultural Credit; Insurance; Climate Change; Resilience; Food Security; Agriculture<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/obzucx\" target=\"_blank\" data-identifier =\"10568\/181295\">https:\/\/doi.org\/10.7910\/dvn\/obzucx<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/181295\" target=\"_blank\" data-identifier =\"10568\/181295\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Eastern Africa;Western Africa;Sub-saharan Africa;Africa;Southern Asia;Central Asia;Asia;Women's Empowerment;Gender;Gender Equality;Productivity;Livelihoods;Impact Assessment;Ethiopia;Niger;Nepal;Kyrgyzstan;Dataset;2025;H7rxN6vU;\" data-sorttitle=\"ReplicationDataforAssessingMulticountryProgramsThroughaReach,Benefit,Empower,TransformLe\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_181296\">Replication Data for Assessing Multicountry Programs Through a Reach, Benefit, Empower, Transform Lens<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_181296\">Details<\/button><dialog id=\"dialog10568_181296\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_181296\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Replication Data for Assessing Multicountry Programs Through a Reach, Benefit, Empower, Transform Lens<\/h4>\n<p class=\"ifResourcesAbstractA\">This dataset accompanies Quisumbing et al. (2023), Assessing multicountry programs through a Reach, Benefit, Empower, Transform lens<br \/>\n (Global Food Security, 37, 100685). It contains the final cleaned data and do-files used to reproduce the studys analyses of the JP RWEE program in Ethiopia, Niger, Nepal, and Kyrgyzstan. <\/p>\n<p>The surveys measure womens empowerment outcomes using pro-WEAI indicators, which apply stricter adequacy cut-offs than A-WEAI and extend beyond agriculture to other livelihood activities. The dataset retains the A-WEAI structure and weights to compute empowerment scores, empowerment status, and intrahousehold inequality measures. <\/p>\n<p>Data include two survey rounds in Ethiopia (baseline Dec 2016Jan 2017; endline FebMar 2019; 750 households, 723 panel cases) and Niger (baseline FebMar 2016; endline OctNov 2020; 580 households at baseline with replacement sampling for attrition), and one round each in Nepal (JanFeb 2021; 1,300 households and Kyrgyzstan (JanFeb 2021; 1,946 households. Each country sample includes a comparison group constructed using methods tailored to the local context. Because data collection was undertaken by external partners, IFPRI holds only the cleaned datasets and code used for the analyses.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/181296\">International Food Policy Research Institute (IFPRI). 2025. Replication Data for \u201cAssessing Multicountry Programs Through a \u201cReach, Benefit, Empower, Transform\u201d Lens\u201d. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/WIZ1PY. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/181296\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Ethiopia; Niger; Nepal; Kyrgyzstan<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Eastern Africa; Western Africa; Sub-saharan Africa; Africa; Southern Asia; Central Asia; Asia; Women's Empowerment; Gender; Gender Equality; Productivity; Livelihoods; Impact Assessment<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/wiz1py\" target=\"_blank\" data-identifier =\"10568\/181296\">https:\/\/doi.org\/10.7910\/dvn\/wiz1py<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/181296\" target=\"_blank\" data-identifier =\"10568\/181296\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Gender Equality<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Africa;Sub-saharan Africa;Eastern Africa;Farming Systems;Agricultural Practices;Land Use;Nutrition;Poverty Alleviation;Socioeconomic Aspects;Food Security;Kenya;Dataset;2025;f3HfGMBf;\" data-sorttitle=\"FAIR-ReadySocioeconomicDatafromtheNature+QuantitativeBaselineHouseholdandWorkerSurveyin\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_181720\">FAIR-Ready Socioeconomic Data from the Nature+ Quantitative Baseline Household and Worker Survey in Kenya<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_181720\">Details<\/button><dialog id=\"dialog10568_181720\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_181720\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">FAIR-Ready Socioeconomic Data from the Nature+ Quantitative Baseline Household and Worker Survey in Kenya<\/h4>\n<p class=\"ifResourcesAbstractA\">This dataset is designed to harmonize agricultural research and socioeconomic monitoring in alignment with the FAIR (Findable, Accessible, Interoperable, and Reusable) principles. It is constructed using rigorous and standardized protocols for variable treatment and construction, explicitly developed to support interoperability and ethical data sharing. The dataset serves as a FAIR-compliant, standardized framework that provides prescriptive guidance on how each variable should be defined, processed, and documented to ensure technical interoperability while safeguarding privacy.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/181720\">International Food Policy Research Institute. 2025. FAIR-Ready Socioeconomic Data from the Nature+ Quantitative Baseline Household and Worker Survey in Kenya. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/IU9BJT. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/181720\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Kenya<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Eastern Africa; Farming Systems; Agricultural Practices; Land Use; Nutrition; Poverty Alleviation; Socioeconomic Aspects; Food Security<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/iu9bjt\" target=\"_blank\" data-identifier =\"10568\/181720\">https:\/\/doi.org\/10.7910\/dvn\/iu9bjt<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/181720\" target=\"_blank\" data-identifier =\"10568\/181720\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Nature-Positive Solutions<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Eastern Africa;Sub-saharan Africa;Africa;Scholarship;Secondary Education;Rural Areas;Poverty;Education;Youth;Schools;Ethiopia;Dataset;2025;\" data-sorttitle=\"TheEffectsofaSecondarySchoolScholarshiponSchoolProgressionandYouthOutcomes:BaselineSur\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_179423\">The Effects of a Secondary School Scholarship on School Progression and Youth Outcomes: Baseline Survey<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_179423\">Details<\/button><dialog id=\"dialog10568_179423\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_179423\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">The Effects of a Secondary School Scholarship on School Progression and Youth Outcomes: Baseline Survey<\/h4>\n<p class=\"ifResourcesAbstractA\">This dataset contains baseline survey data from 2,141 youth and their households collected as part of a randomized controlled trial (RCT) titled The Effects of a Secondary School Scholarship on School Progression and Youth Outcomes in rural Ethiopia. The study evaluates whether providing secondary school scholarships to youth from extremely poor households in remote, food-insecure kebeles improves school enrollment and progression and affects a range of non-academic outcomes.<\/p>\n<p>The baseline survey captures pre-intervention information on household demographics, education and schooling status, work and time use, socioeconomic conditions, food security, life skills, future expectations, mental health and psychosocial well-being, and COVID-19-related experiences. These data provide a comprehensive profile of youth and household conditions prior to program implementation and serve as the foundation for subsequent impact evaluation analyses. The dataset is intended to support research on education, youth development, poverty, and social protection and can be used for replication, secondary analysis, and policy-oriented research.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/179423\">International Food Policy Research Institute (IFPRI). 2025. The Effects of a Secondary School Scholarship on School Progression and Youth Outcomes: Baseline Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/DOVZNY. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/179423\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Ethiopia<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Eastern Africa; Sub-saharan Africa; Africa; Scholarship; Secondary Education; Rural Areas; Poverty; Education; Youth; Schools<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/dovzny\" target=\"_blank\" data-identifier =\"10568\/179423\">https:\/\/doi.org\/10.7910\/dvn\/dovzny<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/179423\" target=\"_blank\" data-identifier =\"10568\/179423\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Eastern Africa;Sub-saharan Africa;Africa;Economic Integration;Financial Inclusion;Capacity Development;Gender Equity;Social Protection;Domestic Violence;Mental Health;Kenya;Dataset;2025;y4tdQRvj;\" data-sorttitle=\"EconomicInclusionProgramCohort2inKenya:BaselineHouseholdSurvey\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_179434\">Economic Inclusion Program Cohort 2 in Kenya: Baseline Household Survey<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_179434\">Details<\/button><dialog id=\"dialog10568_179434\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_179434\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Economic Inclusion Program Cohort 2 in Kenya: Baseline Household Survey<\/h4>\n<p class=\"ifResourcesAbstractA\">This dataset consists of household-level data collected through a baseline survey conducted between April and May 2024 for the Impact Evaluation of the Economic Inclusion Programme (EIP), Cohort 2, in Kenya. The survey covers 3,251 households across four counties, Kisumu, Makueni, Muranga, and Taita Taveta, and was implemented by the Kenyan survey firm REMIT.<\/p>\n<p>The EIP intervention package comprises four components: (i) monthly consumption support, (ii) asset grants to support income-generating activities, (iii) skills training paired with weekly mentoring, and (iv) the establishment of Village Savings and Loan Associations (VSLAs). The evaluation follows a cluster-randomized controlled trial (cRCT) design, in which villages were randomly assigned to treatment and control groups in a 2:1 ratio, with randomization stratified at the sub-county level. <\/p>\n<p>The baseline household survey captures data on demographics, consumption and income, assets, financial inclusion, enterprise activities, food security, mental health, gender equity, social cohesion, and exposure to social protection programs. These data provide a detailed snapshot of household conditions prior to program implementation and enable rigorous impact evaluation, replication, and secondary research on economic inclusion, social protection, and poverty reduction in Kenya.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/179434\">International Food Policy Research Institute (IFPRI). 2025. Economic Inclusion Program Cohort 2 in Kenya: Baseline Household Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/0HCFQN. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/179434\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Kenya<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Eastern Africa; Sub-saharan Africa; Africa; Economic Integration; Financial Inclusion; Capacity Development; Gender Equity; Social Protection; Domestic Violence; Mental Health<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/0hcfqn\" target=\"_blank\" data-identifier =\"10568\/179434\">https:\/\/doi.org\/10.7910\/dvn\/0hcfqn<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/179434\" target=\"_blank\" data-identifier =\"10568\/179434\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Fragility, Conflict, and Migration<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Eastern Africa;Sub-saharan Africa;Africa;Social Accounting Matrix;National Accounting;Household Consumption;Household Expenditure;Economic Indicators;Labor;Computable General Equilibrium Models;Kenya;Dataset;2025;oTPxbCdM;\" data-sorttitle=\"2023SocialAccountingMatrixforKenya\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_181293\">2023 Social Accounting Matrix for Kenya<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_181293\">Details<\/button><dialog id=\"dialog10568_181293\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_181293\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">2023 Social Accounting Matrix for Kenya<\/h4>\n<p class=\"ifResourcesAbstractA\">The 2023 Kenya Social Accounting Matrix (SAM) follows IFPRI's Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI's website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/181293\">International Food Policy Research Institute (IFPRI). 2025. 2023 Social Accounting Matrix for Kenya. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/4CNPIE. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/181293\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Kenya<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Eastern Africa; Sub-saharan Africa; Africa; Social Accounting Matrix; National Accounting; Household Consumption; Household Expenditure; Economic Indicators; Labor; Computable General Equilibrium Models<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/4cnpie\" target=\"_blank\" data-identifier =\"10568\/181293\">https:\/\/doi.org\/10.7910\/dvn\/4cnpie<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/181293\" target=\"_blank\" data-identifier =\"10568\/181293\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>National Policies and Strategies<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Sub-saharan Africa;Africa;Irrigation;Solar Energy;Renewable Energy;Food Production;Energy Sources;Costs;Groundwater;Solar Powered Irrigation Systems;Investment;Dataset;2025;\" data-sorttitle=\"FinancialFeasibilityMapsofSolarIrrigationUnderClimateChangeinAfrica\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_179437\">Financial Feasibility Maps of Solar Irrigation Under Climate Change in Africa<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_179437\">Details<\/button><dialog id=\"dialog10568_179437\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_179437\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Financial Feasibility Maps of Solar Irrigation Under Climate Change in Africa<\/h4>\n<p class=\"ifResourcesAbstractA\">This dataset contains 126 maps illustrating the internal rate of return (IRR) of solar irrigation and its cost efficiency relative to diesel irrigation under 21 different scenarios. It was developed with support from the Africa Agriculture Adaptation Atlas, led by the Alliance of Bioversity International and CIAT and funded by the Gates Foundation.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/179437\">International Food Policy Research Institute (IFPRI). 2025. Financial Feasibility Maps of Solar Irrigation Under Climate Change in Africa. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/J0Q9TO. Harvard Dataverse. Version 3.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/179437\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Sub-saharan Africa; Africa; Irrigation; Solar Energy; Renewable Energy; Food Production; Energy Sources; Costs; Groundwater; Solar Powered Irrigation Systems; Investment<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/j0q9to\" target=\"_blank\" data-identifier =\"10568\/179437\">https:\/\/doi.org\/10.7910\/dvn\/j0q9to<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/179437\" target=\"_blank\" data-identifier =\"10568\/179437\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Tanzania;Eastern Africa;Sub-saharan Africa;Africa;Nutrition;Diet;Vegetables;Fruits;Agriculture;Dataset;2025;4s4Oimf6;\" data-sorttitle=\"FRESHEnd-to-EndApproachEvaluationinTanzania:BaselineSurvey\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_181297\">FRESH End-to-End Approach Evaluation in Tanzania: Baseline Survey<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_181297\">Details<\/button><dialog id=\"dialog10568_181297\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_181297\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">FRESH End-to-End Approach Evaluation in Tanzania: Baseline Survey<\/h4>\n<p class=\"ifResourcesAbstractA\">The FRESH end-to-end approach evaluation is a longitudinal cluster-randomized controlled trial designed to assess the effectiveness of a package of demand-, supply-, and food-environmentfocused interventions on vegetable production and fruit and vegetable intake among women of reproductive age in Northern Tanzania. The trial is implemented in 33 villages across five districts in the Arusha and Kilimanjaro regions.<\/p>\n<p>To better understand community-level factors that may influence agricultural production and dietary intake, a quantitative village survey was conducted in each study village with knowledgeable key informants (e.g., village leaders, village chairpersons, village executive secretaries). The survey collected information on local infrastructure; community groups; agricultural, health, nutrition, and development programs active in the village; transportation availability; electricity access; shocks or unexpected events experienced in the past five years; and seed systems. These data provide essential contextual information to interpret household- and individual-level outcomes within the FRESH end-to-end approach evaluation.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/181297\">International Food Policy Research Institute (IFPRI). 2025. FRESH End-to-End Approach Evaluation in Tanzania: Baseline Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/5KLDV6. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/181297\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Tanzania; Eastern Africa; Sub-saharan Africa; Africa; Nutrition; Diet; Vegetables; Fruits; Agriculture<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/5kldv6\" target=\"_blank\" data-identifier =\"10568\/181297\">https:\/\/doi.org\/10.7910\/dvn\/5kldv6<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/181297\" target=\"_blank\" data-identifier =\"10568\/181297\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Fruit and Vegetables for Sustainable Healthy Diets<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Eastern Africa;Sub-saharan Africa;Africa;Internally Displaced Persons;Conflicts;Natural Disasters;Women;Unemployment;Poverty;Livelihoods;Livestock;Development;Somalia;Dataset;2025;\" data-sorttitle=\"Ultra-poorGraduationMidlineSurveyinSomalia,2023\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_177851\">Ultra-poor Graduation Midline Survey in Somalia, 2023<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_177851\">Details<\/button><dialog id=\"dialog10568_177851\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_177851\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Ultra-poor Graduation Midline Survey in Somalia, 2023<\/h4>\n<p class=\"ifResourcesAbstractA\">This dataset comes from the midline survey of a randomized impact evaluation of the Ultra-Poor Graduation (UPG) Model implemented by World Vision Somalia in internally displaced persons (IDP) camps in Baidoa, Somalia. The UPG program supports extremely vulnerable households through a combination of cash transfers, savings groups, productive asset or skills training, and life-skills coaching. <\/p>\n<p>The midline survey, conducted from July 22 to August 7, 2023, followed up with households to assess progress toward improved food security, household consumption, and asset accumulation, along with secondary outcomes on financial inclusion, income generation, consumption patterns, social cohesion, and locus of control. <\/p>\n<p>Eligible households were identified using a vulnerability assessment based on the Household Hunger Scale and length of residence in the IDP site. Of 6,323 eligible households, 5,000 were enrolled, and 4,116 households (2,872 treatment and 1,244 control) were included in the evaluation. The evaluation survey tracks approximately 4,000 households over three years (2022\u00e2  2024) to assess how effectively the UPG model reduces poverty and strengthens resilience in an urban humanitarian context.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/177851\">International Food Policy Research Institute (IFPRI). 2025. Ultra-poor Graduation Midline Survey in Somalia, 2023. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/207AK5. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/177851\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Somalia<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Eastern Africa; Sub-saharan Africa; Africa; Internally Displaced Persons; Conflicts; Natural Disasters; Women; Unemployment; Poverty; Livelihoods; Livestock; Development<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/207ak5\" target=\"_blank\" data-identifier =\"10568\/177851\">https:\/\/doi.org\/10.7910\/dvn\/207ak5<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/177851\" target=\"_blank\" data-identifier =\"10568\/177851\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Eastern Africa;Sub-saharan Africa;Africa;Internally Displaced Persons;Conflicts;Natural Disasters;Women;Unemployment;Poverty;Livelihoods;Livestock;Development;Somalia;Dataset;2025;\" data-sorttitle=\"Ultra-poorGraduationEndlineSurveyinSomalia,2024\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_177852\">Ultra-poor Graduation Endline Survey in Somalia, 2024<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_177852\">Details<\/button><dialog id=\"dialog10568_177852\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_177852\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Ultra-poor Graduation Endline Survey in Somalia, 2024<\/h4>\n<p class=\"ifResourcesAbstractA\">This dataset comes from the endline survey of a randomized impact evaluation of the Ultra-Poor Graduation (UPG) Model implemented by World Vision Somalia in internally displaced persons (IDP) camps in Baidoa, Somalia. The UPG program supports extremely vulnerable households through a combination of cash transfers, savings groups, productive asset or skills training, and life-skills coaching. The endline survey, conducted from September 27 to October 20, 2024, collected follow-up data to assess final program outcomes on food security, household consumption, and asset accumulation, as well as financial inclusion, income generation, social cohesion, and locus of control.<\/p>\n<p>Eligible households were identified through a vulnerability assessment based on the Household Hunger Scale (HHS) and length of residence in the IDP site. Of 6,323 eligible households, 5,000 were enrolled, with 4,116 households (2,872 treatment and 1,244 control) included in the evaluation sample. The survey tracks households over three years (2022\u20132024) to assess the UPG model's effectiveness in reducing poverty and strengthening household resilience in an urban humanitarian context.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/177852\">International Food Policy Research Institute (IFPRI). 2025. Ultra-poor Graduation Endline Survey in Somalia, 2024. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/4QFPA7. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/177852\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Somalia<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Eastern Africa; Sub-saharan Africa; Africa; Internally Displaced Persons; Conflicts; Natural Disasters; Women; Unemployment; Poverty; Livelihoods; Livestock; Development<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/4qfpa7\" target=\"_blank\" data-identifier =\"10568\/177852\">https:\/\/doi.org\/10.7910\/dvn\/4qfpa7<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/177852\" target=\"_blank\" data-identifier =\"10568\/177852\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Eastern Africa;Sub-saharan Africa;Africa;Food Security;Consumer Behaviour;Diet Quality;Food Consumption;Household Surveys;Simulation Models;Malawi;Dataset;2025;oTPxbCdM;\" data-sorttitle=\"FoodSecuritySimulator\u2013Malawi\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_177853\">Food Security Simulator \u2013 Malawi<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_177853\">Details<\/button><dialog id=\"dialog10568_177853\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_177853\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Food Security Simulator \u2013 Malawi<\/h4>\n<p class=\"ifResourcesAbstractA\">The Food Security Simulator Malawi (FSS-MWI) is an innovative and easy-to-use, MS-Excel-based tool for assessing the potential short-term impacts of food price or household income shocks, along with changes in preferences, on food security and people's diets. The Simulator is an ideal tool for first-cut forward-looking evaluations of direct, household-level outcomes of economic crises and policy responses in a timely manner. The tool allows users to enter positive and negative price or income changes in percentage terms and provides simulated changes for a diverse set of food-consumption- and diet-quality-related indicators. In addition to detailed tabular presentations of all simulation results by household income quintile and residential area, key indicator results are summarized in concise overview tables and visualized in graphs for easy export and use in reports. The underlying data include estimates from representative household survey data and rigorous, sophisticated food demand models to capture consumer behavior.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/177853\">International Food Policy Research Institute (IFPRI). 2025. Food Security Simulator \u2013 Malawi. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/YOWPV9. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/177853\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Malawi<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Eastern Africa; Sub-saharan Africa; Africa; Food Security; Consumer Behaviour; Diet Quality; Food Consumption; Household Surveys; Simulation Models<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/yowpv9\" target=\"_blank\" data-identifier =\"10568\/177853\">https:\/\/doi.org\/10.7910\/dvn\/yowpv9<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/177853\" target=\"_blank\" data-identifier =\"10568\/177853\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>National Policies and Strategies<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Northern Africa;Sub-saharan Africa;Africa;Social Accounting Matrix;National Accounting;Household Consumption;Household Expenditure;Economic Indicators;Labour;Sex-disaggregated Data;Egypt;Dataset;2025;oTPxbCdM;\" data-sorttitle=\"2024SocialAccountingMatrixforEgypt\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_176954\">2024 Social Accounting Matrix for Egypt<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_176954\">Details<\/button><dialog id=\"dialog10568_176954\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_176954\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">2024 Social Accounting Matrix for Egypt<\/h4>\n<p class=\"ifResourcesAbstractA\">The 2024 Egypt Social Accounting Matrix (SAM) follows IFPRI's Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI's website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/176954\">International Food Policy Research Institute (IFPRI). 2025. 2024 Social Accounting Matrix for Egypt. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/OSMX3D. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/176954\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Egypt<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Northern Africa; Sub-saharan Africa; Africa; Social Accounting Matrix; National Accounting; Household Consumption; Household Expenditure; Economic Indicators; Labour; Sex-disaggregated Data<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/osmx3d\" target=\"_blank\" data-identifier =\"10568\/176954\">https:\/\/doi.org\/10.7910\/dvn\/osmx3d<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/176954\" target=\"_blank\" data-identifier =\"10568\/176954\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>National Policies and Strategies<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Western Africa;Sub-saharan Africa;Africa;Social Accounting Matrix;National Accounting;Household Consumption;Household Expenditure;Economic Indicators;Labour;Sex-disaggregated Data;Sierra Leone;Dataset;2025;oTPxbCdM;\" data-sorttitle=\"2023SocialAccountingMatrixforSierraLeone\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_176962\">2023 Social Accounting Matrix for Sierra Leone<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_176962\">Details<\/button><dialog id=\"dialog10568_176962\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_176962\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">2023 Social Accounting Matrix for Sierra Leone<\/h4>\n<p class=\"ifResourcesAbstractA\">The 2023 Sierra Leone Social Accounting Matrix (SAM) follows IFPRI's Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI's website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/176962\">International Food Policy Research Institute (IFPRI). 2025. 2023 Social Accounting Matrix for Sierra Leone. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/LSMGLL. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/176962\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Sierra Leone<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Western Africa; Sub-saharan Africa; Africa; Social Accounting Matrix; National Accounting; Household Consumption; Household Expenditure; Economic Indicators; Labour; Sex-disaggregated Data<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/lsmgll\" target=\"_blank\" data-identifier =\"10568\/176962\">https:\/\/doi.org\/10.7910\/dvn\/lsmgll<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/176962\" target=\"_blank\" data-identifier =\"10568\/176962\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>National Policies and Strategies<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Eastern Africa;Sub-saharan Africa;Africa;Aflatoxins;Mycotoxins;Storage;Maize;Flours;Milling Quality;Kenya;Dataset;2025;fe6AHCVN;\" data-sorttitle=\"AflatoxinsurveillanceinKenya\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_177001\">Aflatoxin surveillance in Kenya<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_177001\">Details<\/button><dialog id=\"dialog10568_177001\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_177001\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Aflatoxin surveillance in Kenya<\/h4>\n<p class=\"ifResourcesAbstractA\">The dataset contains results of a project measuring the prevalence of aflatoxin contamination in maize purchased at retail sites across Kenya in 2021. Samples of packaged flour and informally milled (posho) flour were purchased from a variety of retailers across ten urban sampling sites every two months for a duration of one year. Samples were transported after purchase to the University of Nairobi for laboratory analysis to measure the prevalence of aflatoxin contamination. The results of this analysis are included in this dataset, along with information on the location of the mill where the flour was processed, the sampling location where it was purchased, the timing of data collection and the type of flour.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/177001\">International Food Policy Research Institute (IFPRI). 2025. Aflatoxin Surveillance in Kenya. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/XGNOD4. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/177001\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Kenya<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Eastern Africa; Sub-saharan Africa; Africa; Aflatoxins; Mycotoxins; Storage; Maize; Flours; Milling Quality<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/xgnod4\" target=\"_blank\" data-identifier =\"10568\/177001\">https:\/\/doi.org\/10.7910\/dvn\/xgnod4<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/177001\" target=\"_blank\" data-identifier =\"10568\/177001\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Sustainable Healthy Diets<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Sub-saharan Africa;Africa;Social Accounting Matrix;National Accounting;Household Consumption;Household Expenditure;Economic Indicators;Labour;Sex-disaggregated Data;Rwanda;Dataset;2025;Kef8KeqX;\" data-sorttitle=\"2018SocialAccountingMatrixforRwanda\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_176957\">2018 Social Accounting Matrix for Rwanda<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_176957\">Details<\/button><dialog id=\"dialog10568_176957\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_176957\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">2018 Social Accounting Matrix for Rwanda<\/h4>\n<p class=\"ifResourcesAbstractA\">The Nexus Project is a collaboration between IFPRI and its partners, including national statistical agencies and research institutions. Our aim is to improve the quality of social accounting matrices (SAMs) used for computable general equilibrium (CGE) modeling. The Nexus Project develops toolkits and establishes common data standards, procedures, and classification systems for constructing and updating national SAMs. The 2018 Rwanda SAM follows the Standard Nexus Structure. The open access version of the Rwanda SAM separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital. Labor is further disaggregated across three education categories. Representative households are disaggregated by rural and urban areas and by per capita expenditure quintile. The remaining accounts include enterprises, government, taxes, savings-and-investment, and the rest of the word.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/176957\">International Food Policy Research Institute (IFPRI). 2025. 2018 Social Accounting Matrix for Rwanda. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/VO8EYG. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/176957\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Rwanda<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Sub-saharan Africa; Africa; Social Accounting Matrix; National Accounting; Household Consumption; Household Expenditure; Economic Indicators; Labour; Sex-disaggregated Data<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/vo8eyg\" target=\"_blank\" data-identifier =\"10568\/176957\">https:\/\/doi.org\/10.7910\/dvn\/vo8eyg<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/176957\" target=\"_blank\" data-identifier =\"10568\/176957\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Policies, Institutions, and Markets<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Africa;Sub-saharan Africa;Climate Change;Agriculture;Crop Modelling;Agricultural Production;Food Security;Crop Yield;Dataset;2025;VyxvqIlX;\" data-sorttitle=\"GlobalGriddedDataonClimateImpactonYieldsFromDSSATCropModel,2005\u20132050\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_175254\">Global Gridded Data on Climate Impact on Yields From DSSAT Crop Model, 2005\u20132050<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_175254\">Details<\/button><dialog id=\"dialog10568_175254\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_175254\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Global Gridded Data on Climate Impact on Yields From DSSAT Crop Model, 2005\u20132050<\/h4>\n<p class=\"ifResourcesAbstractA\">This dataset presents percentage changes in agricultural yields due to climate change, comparing the projected yield in 2050 under two greenhouse gas emissions scenarios and 5 climate models, to the climate of 2005. The dataset includes spatially explicit outputs at a 0.5-degree resolution and covers seven key crops: maize, wheat, rice, soybeans, sorghum, groundnuts (peanuts), and potatoes.<br \/>\nThe analysis is done separately for growing under rainfed and irrigated conditions and includes separate results computed with and without CO2 fertilization. The yields used in the calculation were generated using the Decision Support System for Agrotechnology Transfer (DSSAT) crop model. The projections are driven by climate inputs from five global climate models (GCMs) included in the Inter-Sectoral Impact Model Intercomparison Project phase 3b (ISIMIP3b), aligned with the Coupled Model Intercomparison Project phase 6 (CMIP6). Two Shared Socioeconomic Pathways\u2014SSP370 and SSP585\u2014are used to represent divergent climate and development trajectories. Simulations were conducted both with and without the effects of carbon dioxide (CO\u2082) fertilization.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/175254\">International Food Policy Research Institute (IFPRI). 2025. Global Gridded Data on Climate Impact on Yields From DSSAT Crop Model, 2005\u20132050. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/MXJDUC. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/175254\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Climate Change; Agriculture; Crop Modelling; Agricultural Production; Food Security; Crop Yield<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/mxjduc\" target=\"_blank\" data-identifier =\"10568\/175254\">https:\/\/doi.org\/10.7910\/dvn\/mxjduc<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/175254\" target=\"_blank\" data-identifier =\"10568\/175254\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Foresight<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Eastern Africa;Sub-saharan Africa;Africa;Sustainable Land Management;Gender;Climate Change;Social Protection;Data;Ethiopia;Dataset;2025;H7rxN6vU;\" data-sorttitle=\"HER+SustainableLandManagementTrialinEthiopia:EndlineSurvey\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_175576\">HER+ Sustainable Land Management Trial in Ethiopia: Endline Survey<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_175576\">Details<\/button><dialog id=\"dialog10568_175576\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_175576\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">HER+ Sustainable Land Management Trial in Ethiopia: Endline Survey<\/h4>\n<p class=\"ifResourcesAbstractA\">The HER+ Sustainable Land Management Study is a randomized controlled trial evaluating a bundled intervention that provides training and inputs (including 4-6 fruit tree seedlings, vegetable seeds, and tools) to encourage extremely poor rural Ethiopian households to adopt three complementary sustainable land management (SLM) practices: fruit tree planting, composting, and home gardening.<\/p>\n<p>The baseline survey was conducted in May-June 2023, followed by the intervention, with the endline study completed in May-June 2024. The study covers 95 sub-districts, with 20 households randomly selected in each sub-district from among beneficiaries of the Productive Safety Net Program (PSNP) who met pre-specified eligibility criteria, resulting in a total sample of 1,900 households.<\/p>\n<p>The data presented here is from the endline survey.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/175576\">International Food Policy Research Institute (IFPRI). 2025. HER+ Sustainable Land Management Trial in Ethiopia: Endline Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/BELDFL. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/175576\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Ethiopia<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Eastern Africa; Sub-saharan Africa; Africa; Sustainable Land Management; Gender; Climate Change; Social Protection; Data<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/beldfl\" target=\"_blank\" data-identifier =\"10568\/175576\">https:\/\/doi.org\/10.7910\/dvn\/beldfl<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/175576\" target=\"_blank\" data-identifier =\"10568\/175576\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Gender Equality<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Eastern Africa;Sub-saharan Africa;Africa;Sustainable Land Management;Gender;Climate Change;Social Protection;Baseline Data;Ethiopia;Dataset;2025;H7rxN6vU;\" data-sorttitle=\"HER+SustainableLandManagementTrialinEthiopia:BaselineSurvey\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_177014\">HER+ Sustainable Land Management Trial in Ethiopia: Baseline Survey<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_177014\">Details<\/button><dialog id=\"dialog10568_177014\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_177014\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">HER+ Sustainable Land Management Trial in Ethiopia: Baseline Survey<\/h4>\n<p class=\"ifResourcesAbstractA\">The HER+ Sustainable Land Management Study is a randomized controlled trial evaluating a bundled intervention that provides training and inputs (including 4-6 fruit tree seedlings, vegetable seeds, and tools) to encourage extremely poor rural Ethiopian households to adopt three complementary sustainable land management (SLM) practices: fruit tree planting, composting, and home gardening.<\/p>\n<p>The baseline survey was conducted in May-June 2023, followed by the intervention, with the endline study completed in May-June 2024. The study covers 95 sub-districts, with 20 households randomly selected in each sub-district from among beneficiaries of the Productive Safety Net Program (PSNP) who met pre-specified eligibility criteria, resulting in a total sample of 1,900 households.<\/p>\n<p>The data presented here is from the baseline survey.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/177014\">International Food Policy Research Institute (IFPRI). 2025. HER+ Sustainable Land Management Trial in Ethiopia: Baseline Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/8KASCK. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/177014\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Ethiopia<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Eastern Africa; Sub-saharan Africa; Africa; Sustainable Land Management; Gender; Climate Change; Social Protection; Baseline Data<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/8kasck\" target=\"_blank\" data-identifier =\"10568\/177014\">https:\/\/doi.org\/10.7910\/dvn\/8kasck<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/177014\" target=\"_blank\" data-identifier =\"10568\/177014\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Gender Equality<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Western Africa;Sub-saharan Africa;Africa;Value Chains;Poultry;Women's Empowerment;Maternal Nutrition;Communication;Water;Hygiene;Health;Child Nutrition;Infant Feeding;Dietary Assessment;Burkina Faso;Dataset;2025;fe6AHCVN;\" data-sorttitle=\"SELEVERstudy:Secondfollow-upsurvey\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_173987\">SELEVER study: Second follow-up survey<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_173987\">Details<\/button><dialog id=\"dialog10568_173987\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_173987\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">SELEVER study: Second follow-up survey<\/h4>\n<p class=\"ifResourcesAbstractA\">The Soutenir l\u2019Exploitation Familiale pour Lancer l\u2019\u00c9levage des Volailles et Valoriser l\u2019\u00c9conomie Rurale (SELEVER) study was a cluster randomized controlled trial conducted in rural Burkina Faso to evaluate the impact of an integrated agriculture-nutrition intervention on the diets, health, and nutritional status of women and children. The intervention package combined poultry value chain development, women\u2019s empowerment initiatives, and a behavior change communication strategy to promote healthier diets and improved feeding, care, and hygiene practices.<\/p>\n<p>Data collection took place in rural communities across three regions\u2014Boucle du Mouhoun, Centre-Ouest, and Haut-Bassins\u2014over four rounds between March 2017 and August 2020. The baseline survey (Round 1) was conducted from March to June 2017, during the post-harvest season, and included a sample of 1,800 households. Follow-up 1 and Follow-up 2 (Rounds 2 and 3) were carried out during the lean season, with data collected in September\u2013October 2017 and September\u2013October 2019, respectively, from a subsample of 1,080 households. The endline survey (Round 4) took place from March to August 2020, with a temporary pause in data collection due to COVID-19 restrictions.<\/p>\n<p>The study aimed to assess the effectiveness of the intervention package in enhancing nutritional outcomes for women and children in the targeted communities. The data presented here are from the second follow-up survey.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/173987\">International Food Policy Research Institute (IFPRI). 2025. SELEVER study: Second follow-up survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/X7RRHL. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/173987\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Burkina Faso<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Western Africa; Sub-saharan Africa; Africa; Value Chains; Poultry; Women's Empowerment; Maternal Nutrition; Communication; Water; Hygiene; Health; Child Nutrition; Infant Feeding; Dietary Assessment<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/x7rrhl\" target=\"_blank\" data-identifier =\"10568\/173987\">https:\/\/doi.org\/10.7910\/dvn\/x7rrhl<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/173987\" target=\"_blank\" data-identifier =\"10568\/173987\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Sustainable Healthy Diets<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Western Africa;Sub-saharan Africa;Africa;Value Chains;Poultry;Women's Empowerment;Maternal Nutrition;Communication;Water;Hygiene;Health;Child Nutrition;Infant Feeding;Dietary Assessment;Burkina Faso;Dataset;2025;fe6AHCVN;\" data-sorttitle=\"SELEVERstudy:Endlinesurvey\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_173988\">SELEVER study: Endline survey<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_173988\">Details<\/button><dialog id=\"dialog10568_173988\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_173988\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">SELEVER study: Endline survey<\/h4>\n<p class=\"ifResourcesAbstractA\">The Soutenir l\u2019Exploitation Familiale pour Lancer l\u2019\u00c9levage des Volailles et Valoriser l\u2019\u00c9conomie Rurale (SELEVER) study was a cluster randomized controlled trial conducted in rural Burkina Faso to evaluate the impact of an integrated agriculture-nutrition intervention on the diets, health, and nutritional status of women and children. The intervention package combined poultry value chain development, women\u2019s empowerment initiatives, and a behavior change communication strategy to promote healthier diets and improved feeding, care, and hygiene practices.<\/p>\n<p>Data collection took place in rural communities across three regions\u2014Boucle du Mouhoun, Centre-Ouest, and Haut-Bassins\u2014over four rounds between March 2017 and August 2020. The baseline survey (Round 1) was conducted from March to June 2017, during the post-harvest season, and included a sample of 1,800 households. Follow-up 1 and Follow-up 2 (Rounds 2 and 3) were carried out during the lean season, with data collected in September\u2013October 2017 and September\u2013October 2019, respectively, from a subsample of 1,080 households. The endline survey (Round 4) took place from March to August 2020, with a temporary pause in data collection due to COVID-19 restrictions.<\/p>\n<p>The study aimed to assess the effectiveness of the intervention package in enhancing nutritional outcomes for women and children in the targeted communities. The data presented here are from the endline survey.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/173988\">International Food Policy Research Institute (IFPRI). 2025. SELEVER study: Endline survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/E7QTZZ. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/173988\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Burkina Faso<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Western Africa; Sub-saharan Africa; Africa; Value Chains; Poultry; Women's Empowerment; Maternal Nutrition; Communication; Water; Hygiene; Health; Child Nutrition; Infant Feeding; Dietary Assessment<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/e7qtzz\" target=\"_blank\" data-identifier =\"10568\/173988\">https:\/\/doi.org\/10.7910\/dvn\/e7qtzz<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/173988\" target=\"_blank\" data-identifier =\"10568\/173988\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Sustainable Healthy Diets<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Western Africa;Sub-saharan Africa;Africa;Value Chains;Poultry;Women's Empowerment;Maternal Nutrition;Child Nutrition;Infant Feeding;Communication;Hygiene;Dietary Assessment;Health;Burkina Faso;Dataset;2025;fe6AHCVN;\" data-sorttitle=\"SELEVERstudy:Firstfollow-upsurvey\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_173959\">SELEVER study: First follow-up survey<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_173959\">Details<\/button><dialog id=\"dialog10568_173959\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_173959\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">SELEVER study: First follow-up survey<\/h4>\n<p class=\"ifResourcesAbstractA\">The Soutenir l\u2019Exploitation Familiale pour Lancer l\u2019\u00c9levage des Volailles et Valoriser l\u2019\u00c9conomie Rurale (SELEVER) study was a cluster randomized controlled trial conducted in rural Burkina Faso to evaluate the impact of an integrated agriculture-nutrition intervention on the diets, health, and nutritional status of women and children. The intervention package combined poultry value chain development, women\u2019s empowerment initiatives, and a behavior change communication strategy to promote healthier diets and improved feeding, care, and hygiene practices.<\/p>\n<p>Data collection took place in rural communities across three regions\u2014Boucle du Mouhoun, Centre-Ouest, and Haut-Bassins\u2014over four rounds between March 2017 and August 2020. The baseline survey (Round 1) was conducted from March to June 2017, during the post-harvest season, and included a sample of 1,800 households. Follow-up 1 and Follow-up 2 (Rounds 2 and 3) were carried out during the lean season, with data collected in September\u2013October 2017 and September\u2013October 2019, respectively, from a subsample of 1,080 households. The endline survey (Round 4) took place from March to August 2020, with a temporary pause in data collection due to COVID-19 restrictions.<\/p>\n<p>The study aimed to assess the effectiveness of the intervention package in enhancing nutritional outcomes for women and children in the targeted communities. The data presented here are from the first follow-up survey.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/173959\">International Food Policy Research Institute (IFPRI). 2025. SELEVER study: First follow-up survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/SFGXCE. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/173959\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Burkina Faso<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Western Africa; Sub-saharan Africa; Africa; Value Chains; Poultry; Women's Empowerment; Maternal Nutrition; Child Nutrition; Infant Feeding; Communication; Hygiene; Dietary Assessment; Health<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/sfgxce\" target=\"_blank\" data-identifier =\"10568\/173959\">https:\/\/doi.org\/10.7910\/dvn\/sfgxce<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/173959\" target=\"_blank\" data-identifier =\"10568\/173959\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Sustainable Healthy Diets<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Western Africa;Sub-saharan Africa;Africa;Value Chains;Poultry;Women's Empowerment;Maternal Nutrition;Child Nutrition;Infant Feeding;Communication;Hygiene;Dietary Assessment;Health;Burkina Faso;Dataset;2025;fe6AHCVN;\" data-sorttitle=\"SELEVERstudy:Baselinesurvey\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_173958\">SELEVER study: Baseline survey<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_173958\">Details<\/button><dialog id=\"dialog10568_173958\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_173958\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">SELEVER study: Baseline survey<\/h4>\n<p class=\"ifResourcesAbstractA\">The Soutenir l\u2019Exploitation Familiale pour Lancer l\u2019\u00c9levage des Volailles et Valoriser l\u2019\u00c9conomie Rurale (SELEVER) study was a cluster randomized controlled trial conducted in rural Burkina Faso to evaluate the impact of an integrated agriculture-nutrition intervention on the diets, health, and nutritional status of women and children. The intervention package combined poultry value chain development, women\u2019s empowerment initiatives, and a behavior change communication strategy to promote healthier diets and improved feeding, care, and hygiene practices.<\/p>\n<p>Data collection took place in rural communities across three regions\u2014Boucle du Mouhoun, Centre-Ouest, and Haut-Bassins\u2014over four rounds between March 2017 and August 2020. The baseline survey (Round 1) was conducted from March to June 2017, during the post-harvest season, and included a sample of 1,800 households. Follow-up 1 and Follow-up 2 (Rounds 2 and 3) were carried out during the lean season, with data collected in September\u2013October 2017 and September\u2013October 2019, respectively, from a subsample of 1,080 households. The endline survey (Round 4) took place from March to August 2020, with a temporary pause in data collection due to COVID-19 restrictions.<\/p>\n<p>The study aimed to assess the effectiveness of the intervention package in enhancing nutritional outcomes for women and children in the targeted communities. The data presented here are from the baseline survey.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/173958\">International Food Policy Research Institute (IFPRI). 2025. SELEVER study: Baseline survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/M4BTGB. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/173958\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Burkina Faso<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Western Africa; Sub-saharan Africa; Africa; Value Chains; Poultry; Women's Empowerment; Maternal Nutrition; Child Nutrition; Infant Feeding; Communication; Hygiene; Dietary Assessment; Health<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/m4btgb\" target=\"_blank\" data-identifier =\"10568\/173958\">https:\/\/doi.org\/10.7910\/dvn\/m4btgb<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/173958\" target=\"_blank\" data-identifier =\"10568\/173958\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Sustainable Healthy Diets<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Eastern Africa;Sub-saharan Africa;Africa;Crop Yield;Deoxyribonuclease;Seed;Technology Adoption;Ethiopia;Dataset;2025;oTPxbCdM;\" data-sorttitle=\"Replicationdatafor\"Estimatingthedirectandindirecteffectsofimprovedseedadoptiononyields\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_177000\">Replication data for \"Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia\"<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_177000\">Details<\/button><dialog id=\"dialog10568_177000\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_177000\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Replication data for \"Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia\"<\/h4>\n<p class=\"ifResourcesAbstractA\">This dataset supports the replication of results presented in \"Estimating the Direct and Indirect Effects of Improved Seed Adoption on Yields: Evidence from DNA-Fingerprinting, Crop Cuts, and Self-Reporting in Ethiopia\" (2025) by Nina Jovanovic and Jacob Ricker-Gilbert, published in the Journal of Development Economics. The data originates from the 2018\/19 Ethiopia Socio-economic Survey conducted by the Central Statistical Agency of Ethiopia. <\/p>\n<p>The dataset combines DNA-fingerprinting of maize seeds, GPS-based plot size measurements, and crop cut data, facilitating robust comparisons with farmers' self-reported data on seed varieties, land area, and harvested quantities. <\/p>\n<p>An accompanying do-file contains the Stata code required to replicate the analysis presented in the paper. The dataset has been cleaned and transformed for analytical purposes, including:<br \/>\nMissing Data Management: Mean imputation for continuous variables.<br \/>\nOutlier Treatment: Winsorized crop yield data.<br \/>\nThis comprehensive dataset and code package enable researchers to validate and build upon the study's findings.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/177000\">International Food Policy Research Institute (IFPRI). 2025. Replication data for \"Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia\". Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/CNLIJO. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/177000\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Ethiopia<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Eastern Africa; Sub-saharan Africa; Africa; Crop Yield; Deoxyribonuclease; Seed; Technology Adoption<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/cnlijo\" target=\"_blank\" data-identifier =\"10568\/177000\">https:\/\/doi.org\/10.7910\/dvn\/cnlijo<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/177000\" target=\"_blank\" data-identifier =\"10568\/177000\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>National Policies and Strategies<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Eastern Africa;Sub-saharan Africa;Africa;Baseline Data;Social Protection;Nutrition;Gender;Climate Change;Resilience;Institutions;Food Security;Children;Women's Empowerment;Mental Health;Domestic Violence;Ethiopia;Dataset;2025;\" data-sorttitle=\"StrengthenPSNPInstitutionsandResiliencePhaseII(SPIRII),Ethiopia:BaselineSurvey\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_177003\">Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Baseline Survey<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_177003\">Details<\/button><dialog id=\"dialog10568_177003\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_177003\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Baseline Survey<\/h4>\n<p class=\"ifResourcesAbstractA\">This dataset is part of the IMPEL (Implementer-Led Evaluation and Learning) evaluation of SPIR-II (Strengthen PSNP Institutions and Resilience), a randomized controlled trial launched in 2022. The SPIR-II aims to enhance livelihoods, increase resilience to shocks, and improve food security and nutrition for rural households vulnerable to food insecurity in Ethiopia.<\/p>\n<p>The IMPEL SPIR-II impact evaluation employs an experimental design with multiple treatment arms, comparing combinations of livelihood and nutrition graduation model programming provided to the Productive Safety Net Programme (PSNP) beneficiaries relative to a control group receiving only PSNP transfers. The design includes 234 kebeles assigned to three treatment arms. In the first arm (the control group), PSNP is implemented by the government with SPIR II support for the provision of cash and food transfers only. In the second arm, SPIR II programming is rolled out to PSNP beneficiary households in conjunction with nurturing care groups targeting enhanced infant and young child nutritional practices. In the third arm, PSNP beneficiary households receive SPIR II programming and NCGs, supplemented with additional targeted cash grants.<\/p>\n<p>Specifically, it includes data collected from the baseline survey of the RCT conducted in August September 2022, which entailed interviews with both the primary female respondent (pregnant or lactating woman) and her spouse.<\/p>\n<p>The sample for the baseline survey comprises 3,015 households in 234 kebeles from 15 woredas in the Amhara and Oromia regions. The inclusion criteria required that households were PSNP beneficiaries reporting the presence of an infant under nine months of age (along with his\/her mother or primary caretaker) or a pregnant woman. The realized sample corresponds to 98% of the target sample; three kebeles were excluded from the sample due to insecurity or other challenges that rendered it impossible to conduct surveys.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/177003\">International Food Policy Research Institute (IFPRI). 2025. Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Baseline Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/U7DP3C. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/177003\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Ethiopia<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Eastern Africa; Sub-saharan Africa; Africa; Baseline Data; Social Protection; Nutrition; Gender; Climate Change; Resilience; Institutions; Food Security; Children; Women's Empowerment; Mental Health; Domestic Violence<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/u7dp3c\" target=\"_blank\" data-identifier =\"10568\/177003\">https:\/\/doi.org\/10.7910\/dvn\/u7dp3c<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/177003\" target=\"_blank\" data-identifier =\"10568\/177003\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Western Africa;Sub-saharan Africa;Africa;Climate;Food Security;Households;Violence;Conflicts;Migration;Food Prices;Shock;Mali;Dataset;2025;y4tdQRvj;\" data-sorttitle=\"IntegratedandenhanceddatasetonfoodsecurityandhouseholdcopingstrategiesofMali(2018-2023)\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_177008\">Integrated and enhanced dataset on food security and household coping strategies of Mali (2018-2023)<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_177008\">Details<\/button><dialog id=\"dialog10568_177008\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_177008\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Integrated and enhanced dataset on food security and household coping strategies of Mali (2018-2023)<\/h4>\n<p class=\"ifResourcesAbstractA\">This dataset integrates and standardizes multiple cross-sectional household food security surveys conducted twice a year to support the Cadre Harmonis\u00e9  process in West Africa. The surveys are carried out in two waves each year:<\/p>\n<p>First wave: Conducted before the start of the lean season (around February-March)<\/p>\n<p>Second wave: Conducted at the end of the lean season or beginning of the harvesting period (around September-October)<\/p>\n<p>These large-scale surveys are generally representative at the second-tier administrative level and capture data on the access and stability dimensions of food security. Key indicators include:<br \/>\n-Food Consumption Score (FCS);<br \/>\n-Household Dietary Diversity Score (HDDS);<br \/>\n-Coping behaviors.<\/p>\n<p>Additionally, this dataset is further augmented with information on several covariate shocks that took place in each second-level administrative area in the period between two subsequent surveys. The different covariate shocks added to the dataset relate to five shock domains: <\/p>\n<p>-Conflict and political violence;<br \/>\n-Food price anomalies;<br \/>\n-Long-term climate hazards;<br \/>\n-Rainy season performance;<br \/>\n-Extreme weather events.<\/p>\n<p>This comprehensive dataset provides valuable insights into food security and household coping strategies in Mali, enriched with data on various shocks impacting food security.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/177008\">International Food Policy Research Institute (IFPRI). 2025. Integrated and enhanced dataset on food security and household coping strategies of Mali (2018-2023). Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/NNAYAM. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/177008\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Mali<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Western Africa; Sub-saharan Africa; Africa; Climate; Food Security; Households; Violence; Conflicts; Migration; Food Prices; Shock<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/nnayam\" target=\"_blank\" data-identifier =\"10568\/177008\">https:\/\/doi.org\/10.7910\/dvn\/nnayam<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/177008\" target=\"_blank\" data-identifier =\"10568\/177008\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Fragility, Conflict, and Migration<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Western Africa;Sub-saharan Africa;Africa;Climate;Food Security;Households;Violence;Conflicts;Migration;Food Prices;Shock;Burkina Faso;Dataset;2025;y4tdQRvj;\" data-sorttitle=\"IntegratedandenhanceddatasetonfoodsecurityandhouseholdcopingstrategiesofBurkinaFaso(20\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_176996\">Integrated and enhanced dataset on food security and household coping strategies of Burkina Faso (2018-2023)<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_176996\">Details<\/button><dialog id=\"dialog10568_176996\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_176996\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Integrated and enhanced dataset on food security and household coping strategies of Burkina Faso (2018-2023)<\/h4>\n<p class=\"ifResourcesAbstractA\">This dataset integrates and standardizes multiple cross-sectional household food security surveys conducted twice a year to support the Cadre Harmonis\u00e9 process in West Africa. The surveys are carried out in two waves each year:<\/p>\n<p>First wave: Conducted before the start of the lean season (around February-March)<\/p>\n<p>Second wave: Conducted at the end of the lean season or beginning of the harvesting period (around September-October)<\/p>\n<p>These large-scale surveys are generally representative at the second-tier administrative level and capture data on the access and stability dimensions of food security. Key indicators include:<br \/>\nFood Consumption Score (FCS);<br \/>\nHousehold Dietary Diversity Score (HDDS);<br \/>\nCoping behaviors.<\/p>\n<p>Additionally, this dataset is further augmented with information on several covariate shocks that took place in each second-level administrative area in the period between two subsequent surveys. The different covariate shocks added to the dataset relate to five shock domains:<br \/>\nConflict and political violence;<br \/>\nFood price anomalies;<br \/>\nLong-term climate hazards;<br \/>\nRainy season performance;<br \/>\nExtreme weather events.<\/p>\n<p>This comprehensive dataset provides valuable insights into food security and household coping strategies in Burkina Faso, enriched with data on various shocks impacting food security.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/176996\">International Food Policy Research Institute (IFPRI). 2025. Integrated and enhanced dataset on food security and household coping strategies of Burkina Faso (2018-2023). Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/IPDCDQ. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/176996\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Burkina Faso<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Western Africa; Sub-saharan Africa; Africa; Climate; Food Security; Households; Violence; Conflicts; Migration; Food Prices; Shock<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/ipdcdq\" target=\"_blank\" data-identifier =\"10568\/176996\">https:\/\/doi.org\/10.7910\/dvn\/ipdcdq<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/176996\" target=\"_blank\" data-identifier =\"10568\/176996\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Fragility, Conflict, and Migration<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Western Africa;Sub-saharan Africa;Africa;Climate;Food Security;Households;Violence;Conflicts;Migration;Food Prices;Shock;Niger;Dataset;2025;y4tdQRvj;\" data-sorttitle=\"IntegratedandenhanceddatasetonfoodsecurityandhouseholdcopingstrategiesofNiger(2018-2023\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_176999\">Integrated and enhanced dataset on food security and household coping strategies of Niger (2018-2023)<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_176999\">Details<\/button><dialog id=\"dialog10568_176999\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_176999\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Integrated and enhanced dataset on food security and household coping strategies of Niger (2018-2023)<\/h4>\n<p class=\"ifResourcesAbstractA\">This dataset integrates and standardizes multiple cross-sectional household food security surveys conducted twice a year to support the Cadre Harmonis\u00e9 process in West Africa. The surveys are carried out in two waves each year:<\/p>\n<p>First wave: Conducted before the start of the lean season (around February-March); <\/p>\n<p>Second wave: Conducted at the end of the lean season or beginning of the harvesting period (around September-October)<\/p>\n<p>These large-scale surveys are generally representative at the second-tier administrative level and capture data on the access and stability dimensions of food security. Key indicators include:<br \/>\n-Food Consumption Score (FCS);<br \/>\n-Household Dietary Diversity Score (HDDS);<br \/>\n-Coping behaviors.<\/p>\n<p>Additionally, this dataset is further augmented with information on several covariate shocks that took place in each second-level administrative area in the period between two subsequent surveys. The different covariate shocks added to the dataset relate to five shock domains:<br \/>\n-Conflict and political violence;<br \/>\n-Food price anomalies;<br \/>\n-Long-term climate hazards;<br \/>\n-Rainy season performance;<br \/>\n-Extreme weather events.<\/p>\n<p>This comprehensive dataset provides valuable insights into food security and household coping strategies in Niger, enriched with data on various shocks impacting food security.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/176999\">International Food Policy Research Institute (IFPRI). 2025. Integrated and enhanced dataset on food security and household coping strategies of Niger (2018-2023). Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/SWJOEN. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/176999\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Niger<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Western Africa; Sub-saharan Africa; Africa; Climate; Food Security; Households; Violence; Conflicts; Migration; Food Prices; Shock<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/swjoen\" target=\"_blank\" data-identifier =\"10568\/176999\">https:\/\/doi.org\/10.7910\/dvn\/swjoen<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/176999\" target=\"_blank\" data-identifier =\"10568\/176999\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Fragility, Conflict, and Migration<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Sub-saharan Africa;Africa;Climate;Food Security;Households;Violence;Conflicts;Migration;Food Prices;Shock;Chad;Dataset;2025;y4tdQRvj;\" data-sorttitle=\"IntegratedandenhanceddatasetonfoodsecurityandhouseholdcopingstrategiesofChad(2018-2023)\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_177009\">Integrated and enhanced dataset on food security and household coping strategies of Chad (2018-2023)<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_177009\">Details<\/button><dialog id=\"dialog10568_177009\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_177009\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Integrated and enhanced dataset on food security and household coping strategies of Chad (2018-2023)<\/h4>\n<p class=\"ifResourcesAbstractA\">This dataset integrates and standardizes multiple cross-sectional household food security surveys conducted twice a year to support the Cadre Harmonis\u00e9 process in West Africa. The surveys are carried out in two waves each year:<\/p>\n<p>First wave: Conducted before the start of the lean season (around February-March)<\/p>\n<p>Second wave: Conducted at the end of the lean season or beginning of the harvesting period (around September-October)<\/p>\n<p>These large-scale surveys are generally representative at the second-tier administrative level and capture data on the access and stability dimensions of food security. Key indicators include:<br \/>\n-Food Consumption Score (FCS);<br \/>\n-Household Dietary Diversity Score (HDDS);<br \/>\n-Coping behaviors.<\/p>\n<p>Additionally, this dataset is further augmented with information on several covariate shocks that took place in each second-level administrative area in the period between two subsequent surveys. The different covariate shocks added to the dataset relate to five shock domains:<br \/>\n-Conflict and political violence;<br \/>\n-Food price anomalies;<br \/>\n-Long-term climate hazards;<br \/>\n-Rainy season performance;<br \/>\n-Extreme weather events.<\/p>\n<p>This comprehensive dataset provides valuable insights into food security and household coping strategies in Chad, enriched with data on various shocks impacting food security.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/177009\">International Food Policy Research Institute (IFPRI). 2025. Integrated and enhanced dataset on food security and household coping strategies of Chad (2018-2023). Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/SQA143. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/177009\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Chad<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Sub-saharan Africa; Africa; Climate; Food Security; Households; Violence; Conflicts; Migration; Food Prices; Shock<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/sqa143\" target=\"_blank\" data-identifier =\"10568\/177009\">https:\/\/doi.org\/10.7910\/dvn\/sqa143<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/177009\" target=\"_blank\" data-identifier =\"10568\/177009\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Fragility, Conflict, and Migration<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Eastern Africa;Sub-saharan Africa;Africa;Crop Yield;Policy Analysis;Agricultural Practices;Climate Change Adaptation;Sustainable Agriculture;Agricultural Productivity;Npk Fertilizers;Subsidies;Farm Inputs;Rwanda;Dataset;2025;\" data-sorttitle=\"ReplicationDatafor\"FertilizerPolicyReformsintheMidstofCrisis:EvidencefromRwanda\"\" data-sortdate=\"2025\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_176998\">Replication Data for \"Fertilizer Policy Reforms in the Midst of Crisis: Evidence from Rwanda\"<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2025<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_176998\">Details<\/button><dialog id=\"dialog10568_176998\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_176998\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Replication Data for \"Fertilizer Policy Reforms in the Midst of Crisis: Evidence from Rwanda\"<\/h4>\n<p class=\"ifResourcesAbstractA\">This dataset is provided to support the replication of the results presented in the paper  \"The Impact of Fertilizer Subsidies on Agricultural Productivity in Rwanda\"  (Spielman, David J.; Mugabo, Serge; Rosenbach, Gracie et al., forthcoming). It includes both the raw data and the processed variables used in the analysis.<\/p>\n<p>The data for this study is sourced from the National Institute of Statistics of Rwanda's (NISR) Seasonal Agriculture Survey (SAS), conducted between 2017 and 2020. The dataset includes a representative sample of small-scale and large-scale farms across Rwanda. It contains detailed information on land use, crop production, fertilizer usage, crop yields, and agricultural practices across the country's three agricultural seasons: Season A (September to February), Season B (March to June), and Season C (July to September).<\/p>\n<p>The SAS dataset includes data from 76,182 sampled plots across Rwanda, capturing key agricultural variables such as fertilizer application, crop types, land sizes, and yields. This dataset is further enriched with additional data from the National Agriculture Export Board (NAEB), which provides information on tea and coffee production through routine monitoring and a five-year coffee census. Input subsidies, pricing, and distribution data are sourced from the Ministry of Agriculture and Animal Resources (MINAGRI) and the Rwanda Agriculture and Animal Resources Board (RAB).<\/p>\n<p>Accompanying this dataset are the do-files, which contain the Stata code necessary to replicate the analysis presented in the paper. These scripts include all steps for data cleaning, analysis, and result generation. Detailed, step-by-step instructions for replicating the analysis can be found in the included README file.<\/p>\n<p>While the dataset is based on the original SAS data, it has been cleaned and transformed for analysis. Missing values have been handled using mean imputation for continuous variables and mode imputation for categorical variables. Outliers in crop yield data have also been adjusted based on established thresholds.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2025<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/176998\">International Food Policy Research Institute (IFPRI). 2025. Replication Data for \"Fertilizer Policy Reforms in the Midst of Crisis: Evidence from Rwanda\". Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/SMGIBM. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/176998\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Rwanda<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Eastern Africa; Sub-saharan Africa; Africa; Crop Yield; Policy Analysis; Agricultural Practices; Climate Change Adaptation; Sustainable Agriculture; Agricultural Productivity; Npk Fertilizers; Subsidies; Farm Inputs<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/smgibm\" target=\"_blank\" data-identifier =\"10568\/176998\">https:\/\/doi.org\/10.7910\/dvn\/smgibm<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/176998\" target=\"_blank\" data-identifier =\"10568\/176998\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Massachusetts Institute of Technology;Africa;Sub-saharan Africa;Eastern Africa;Extreme Weather Events;Climate;Climate Change;Risk;Weather Data;Weather Hazards;Climate Variability;Ethiopia;Dataset;2024;VyxvqIlX;\" data-sorttitle=\"SimulatedFutureClimatesforEthiopiaUsingMIT-IGSMHFDsBasedonCMIP5\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_169814\">Simulated Future Climates for Ethiopia Using MIT-IGSM HFDs Based on CMIP5<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute; Massachusetts Institute of Technology<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_169814\">Details<\/button><dialog id=\"dialog10568_169814\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_169814\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Simulated Future Climates for Ethiopia Using MIT-IGSM HFDs Based on CMIP5<\/h4>\n<p class=\"ifResourcesAbstractA\">The dataset consists of high-resolution climate projections spanning 50 years, capturing spatial and temporal variations in temperature, precipitation, and extreme weather events. These climate inputs were combined with agricultural models to simulate the frequency, intensity, and impact of weather events on the yields of key crops, such as maize, in Ethiopia. It integrates hybrid frequency distributions (HFDs) from the Massachusetts Institute of Technology Integrated Global Systems Model (MIT-IGSM) with detrended gridded historical climates from Princeton Global Forcings. Using a Gaussian quadrature routine, 455 representative climate scenarios were selected for Ethiopia under each emissions scenario (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). This comprehensive dataset provides critical insights into the risks posed by climate change to food security and serves as a valuable resource for researchers and policymakers aiming to develop adaptive strategies for sustainable agriculture.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute; Massachusetts Institute of Technology<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/169814\">International Food Policy Research Institute (IFPRI); Massachusetts Institute of Technology (MIT). 2024. Simulated Future Climates for Ethiopia Using MIT-IGSM HFDs Based on CMIP5. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/THC08J. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/169814\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Ethiopia<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Eastern Africa; Extreme Weather Events; Climate; Climate Change; Risk; Weather Data; Weather Hazards; Climate Variability<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/thc08j\" target=\"_blank\" data-identifier =\"10568\/169814\">https:\/\/doi.org\/10.7910\/dvn\/thc08j<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/169814\" target=\"_blank\" data-identifier =\"10568\/169814\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Foresight<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Africa;Sub-saharan Africa;Eastern Africa;Social Protection;Mental Health;Domestic Violence;Food Security;Household Consumption;Impact Assessment;Ethiopia;Dataset;2024;y4tdQRvj;\" data-sorttitle=\"StrengthenPSNPInstitutionsandResiliencePhaseII(SPIRII),Ethiopia:GroupProblemManagementP\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168508\">Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot, Follow-up 2<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168508\">Details<\/button><dialog id=\"dialog10568_168508\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168508\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot, Follow-up 2<\/h4>\n<p class=\"ifResourcesAbstractA\">IFPRI, in collaboration with World Vision (WV) and implementation partners, evaluated the impact of a psychotherapy intervention, group Problem Management plus (gPM+), with and without a one-time lump sum cash transfer. The study is an interventional study using a cluster randomized control trial (cRCT) design that occurred in 70 kebeles across the regions of Oromia and Amhara. The evaluation includes a screening survey to assess eligible men and women; a baseline survey conducted before implementing the gPM+ or cash transfer intervention (June-July 2022); an endline survey conducted on the same individuals right after the interventions (September 2022-October 2022); and a one-year post-intervention survey conducted approximately one year after the endline (September 2023 -December 2023). This dataset is with respect to the endline survey and contains baseline demographic information on the sample in the gPM+ study. The first part comprises of household-level modules such as household roster, housing, assets, consumption, food security, investments, and occurrence of shocking events. The second part is composed of individual-level modules administered to the individuals screened for the study. These modules include instruments for measuring stress, anxiety, coping, self-efficacy, time and risk preference, savings, intimate partner violence, time use, and childcare.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168508\">International Food Policy Research Institute (IFPRI). 2024. Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot, Follow-up 2. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/AVZSE3. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168508\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Ethiopia<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Eastern Africa; Social Protection; Mental Health; Domestic Violence; Food Security; Household Consumption; Impact Assessment<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/avzse3\" target=\"_blank\" data-identifier =\"10568\/168508\">https:\/\/doi.org\/10.7910\/dvn\/avzse3<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168508\" target=\"_blank\" data-identifier =\"10568\/168508\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Fragility, Conflict, and Migration<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Africa;Sub-saharan Africa;Eastern Africa;Baseline Data;Social Protection;Behaviour;Health;Social Welfare;Mental Health;Domestic Violence;Food Security;Household Consumption;Ethiopia;Dataset;2024;y4tdQRvj;\" data-sorttitle=\"SPIRIIGroupProblemManagementPlus(gPM+)BaselineSurveyinTigray,Ethiopia\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168660\">SPIR II Group Problem Management Plus (gPM+) Baseline Survey in Tigray, Ethiopia<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168660\">Details<\/button><dialog id=\"dialog10568_168660\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168660\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">SPIR II Group Problem Management Plus (gPM+) Baseline Survey in Tigray, Ethiopia<\/h4>\n<p class=\"ifResourcesAbstractA\">This study's objective is to evaluate the effectiveness of a low-cost psychotherapy intervention, group Problem Management Plus (gPM+), in improving mental health, child development, and related outcomes among rural Ethiopian households. gPM+ was delivered in separate arms by government-employed Health Extension Workers (HEWs) or stipended Local Facilitators (LFs) engaged by an NGO. Participants were drawn from the Productive Safety Net Program (PSNP) in Tigray, targeting individuals aged 18\u201364 years who showed signs of moderate to moderately severe depression. Villages across four districts were randomized into three arms: control, gPM+ delivered by HEWs, and gPM+ delivered by LFs. The study will be evaluated through a baseline, one-month and 12 month follow-up surveys. The data included here is from the screening and baseline surveys. The screening survey was conducted on 16,872 households to identify eligible individuals for the study, immediately followed by a baseline survey on the 3,744 households with an eligible respondent. The baseline survey collects information on household and individual characteristics including mental health, economic activities, and social behaviors. The data is organized by survey modules, screening modules include modules SA and SB, baseline modules include modules A-K. Module Z is last module on interview status filled out for all households that were screened.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168660\">International Food Policy Research Institute (IFPRI). 2024. SPIR II Group Problem Management Plus (gPM+) Baseline Survey in Tigray, Ethiopia. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/U2YUP0. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168660\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Ethiopia<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Eastern Africa; Baseline Data; Social Protection; Behaviour; Health; Social Welfare; Mental Health; Domestic Violence; Food Security; Household Consumption<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/u2yup0\" target=\"_blank\" data-identifier =\"10568\/168660\">https:\/\/doi.org\/10.7910\/dvn\/u2yup0<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168660\" target=\"_blank\" data-identifier =\"10568\/168660\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Fragility, Conflict, and Migration<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Africa;Sub-saharan Africa;Eastern Africa;Social Protection;Mental Health;Domestic Violence;Food Security;Household Consumption;Impact Assessment;Ethiopia;Dataset;2024;y4tdQRvj;\" data-sorttitle=\"StrengthenPSNPInstitutionsandResiliencePhaseII(SPIRII),Ethiopia:GroupProblemManagementP\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168511\">Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot, Follow-up 1<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168511\">Details<\/button><dialog id=\"dialog10568_168511\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168511\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot, Follow-up 1<\/h4>\n<p class=\"ifResourcesAbstractA\">IFPRI, in collaboration with World Vision (WV) and implementation partners, evaluated the impact of a psychotherapy intervention, group Problem Management plus (gPM+), with and without a one-time lump sum cash transfer. The study is an interventional study using a cluster randomized control trial (cRCT) design that occurred in 70 kebeles across the regions of Oromia and Amhara. The evaluation includes a screening survey to assess eligible men and women; a baseline survey conducted before implementing the gPM+ or cash transfer intervention (June-July 2022); and two follow up surveys (the first conducted September 2022-October 2022, and the second October 2023-January 2024). This dataset is with respect to the first follow up survey and contains baseline demographic information on the sample in the gPM+ study. The first part comprises of household-level modules such as household roster, housing, assets, consumption, food security, investments, and occurrence of shocking events. The second part is composed of individual-level modules administered to the individuals screened for the study. These modules include instruments for measuring stress, anxiety, coping, self-efficacy, time and risk preference, savings, time use, and childcare.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168511\">International Food Policy Research Institute (IFPRI). 2024. Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot, Follow-up 1. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/ZPFK7E. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168511\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Ethiopia<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Eastern Africa; Social Protection; Mental Health; Domestic Violence; Food Security; Household Consumption; Impact Assessment<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/zpfk7e\" target=\"_blank\" data-identifier =\"10568\/168511\">https:\/\/doi.org\/10.7910\/dvn\/zpfk7e<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168511\" target=\"_blank\" data-identifier =\"10568\/168511\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Fragility, Conflict, and Migration<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Africa;Sub-saharan Africa;Eastern Africa;Irrigation;Irrigation Technology;Women's Empowerment;Gender;Renewable Energy;Subsidies;Water Security;Uganda;Dataset;2024;\" data-sorttitle=\"Irrigationtechnologies,UseofSolarPumpsandGenderedImpacts\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168066\">Irrigation technologies, Use of Solar Pumps and Gendered Impacts<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168066\">Details<\/button><dialog id=\"dialog10568_168066\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168066\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Irrigation technologies, Use of Solar Pumps and Gendered Impacts<\/h4>\n<p class=\"ifResourcesAbstractA\">The CGIAR Nexus Gains initiative supported a survey on irrigation solar pumps in Uganda to examine how solar pump ownership impacts the livelihoods of women and men in rural areas. This questionnaire was utilized to collect data from both beneficiaries and non-beneficiaries of the World Bank solar pump subsidy project, implemented by the Ugandan Ministry of Agriculture, Fisheries, and Animal Industry.<\/p>\n<p>The subsidy project required applicants to:<br \/>\n-Contribute 25% of the pump acquisition cost.<br \/>\n-Have access to a water source.<br \/>\n-Own arable land.<br \/>\n-At the time of the survey (November\u2013December 2024), the project had expanded to all four regions of Uganda (Central, Eastern, Western, and Northern), covering 66 of the country\u2019s 122 districts.<\/p>\n<p>The survey was conducted in all four regions, sampling eight districts (two per region). Due to budget constraints, the survey included a sample of 480 households, comprising 280 beneficiaries and 200 non-beneficiaries. In each household, both an adult female and an adult male were interviewed to capture gender-differentiated perspectives.<\/p>\n<p>Questionnaire Protocol Modules:<br \/>\n-Household Composition<br \/>\n-Irrigation Use<br \/>\n-Solar Pump and Non-Solar Pump Characteristics<br \/>\n-Women Empowerment<br \/>\n-Energy Insecurity<br \/>\n-Water Insecurity<br \/>\n-Food Insecurity<br \/>\n-Nutrition and Dietary Diversity<br \/>\n-Production and Input<br \/>\n-Assets<br \/>\n-Markets and Marketing<br \/>\n-Access to Rural Services<br \/>\n-Access to Pump Repair Technical Services<br \/>\n-This comprehensive survey design aims to explore the multifaceted impacts of solar pump adoption on household livelihoods, with a particular focus on gendered outcomes.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168066\">International Food Policy Research Institute (IFPRI). 2024. Irrigation technologies, Use of Solar Pumps and Gendered Impacts. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/JAWBMQ. Harvard Dataverse. Version 1.0<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168066\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Uganda<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Eastern Africa; Irrigation; Irrigation Technology; Women's Empowerment; Gender; Renewable Energy; Subsidies; Water Security<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/jawbmq\" target=\"_blank\" data-identifier =\"10568\/168066\">https:\/\/doi.org\/10.7910\/dvn\/jawbmq<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168066\" target=\"_blank\" data-identifier =\"10568\/168066\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Africa;Eastern Africa;Food Security;Consumer Behavior;Diet Quality;Food Consumption;Household Surveys;Simulation Models;Ethiopia;Dataset;2024;oTPxbCdM;\" data-sorttitle=\"FoodSecuritySimulator\u2013Ethiopia\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_163240\">Food Security Simulator \u2013 Ethiopia<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163240\">Details<\/button><dialog id=\"dialog10568_163240\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163240\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Food Security Simulator \u2013 Ethiopia<\/h4>\n<p class=\"ifResourcesAbstractA\">The Food Security Simulator Ethiopia (FSSE) is an innovative and easy-to-use, MS-Excel-based tool for assessing the potential short-term impacts of food price or household income shocks, along with changes in preferences, on food security and people\u2019s diets. The Simulator is an ideal tool for first-cut forward-looking evaluations of direct, household-level outcomes of economic crises and policy responses in a timely manner. The tool allows users to enter positive and negative price or income changes in percentage terms and provides simulated changes for a diverse set of food-consumption- and diet-quality-related indicators. In addition to detailed tabular presentations of all simulation results by household income quintile and residential area, key indicator results are summarized in concise overview tables and visualized in graphs for easy export and use in reports. The underlying data include estimates from representative household survey data and rigorous, sophisticated food demand models to capture consumer behavior.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/163240\">International Food Policy Research Institute (IFPRI). 2024. Food Security Simulator \u2013 Ethiopia. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/LVOLEP. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/163240\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Ethiopia<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Eastern Africa; Food Security; Consumer Behavior; Diet Quality; Food Consumption; Household Surveys; Simulation Models<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/lvolep\" target=\"_blank\" data-identifier =\"10568\/163240\">https:\/\/doi.org\/10.7910\/dvn\/lvolep<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/163240\" target=\"_blank\" data-identifier =\"10568\/163240\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>National Policies and Strategies<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Africa;Sub-saharan Africa;Eastern Africa;Macroeconomic Analysis;National Accounting;Household Consumption;Household Expenditure;Taxes;Economic Indicators;Labour;Sex-disaggregated Data;Ethiopia;Dataset;2024;VyxvqIlX;\" data-sorttitle=\"2022SocialAccountingMatrixforEthiopia\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_163682\">2022 Social Accounting Matrix for Ethiopia<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163682\">Details<\/button><dialog id=\"dialog10568_163682\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163682\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">2022 Social Accounting Matrix for Ethiopia<\/h4>\n<p class=\"ifResourcesAbstractA\">The 2022 Ethiopia Social Accounting Matrix (SAM) follows IFPRI's Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI's website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/163682\">International Food Policy Research Institute (IFPRI). 2024. 2022 Social Accounting Matrix for Ethiopia. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/UNGXIW. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/163682\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Ethiopia<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Eastern Africa; Macroeconomic Analysis; National Accounting; Household Consumption; Household Expenditure; Taxes; Economic Indicators; Labour; Sex-disaggregated Data<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/ungxiw\" target=\"_blank\" data-identifier =\"10568\/163682\">https:\/\/doi.org\/10.7910\/dvn\/ungxiw<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/163682\" target=\"_blank\" data-identifier =\"10568\/163682\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Foresight<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Africa;Sub-saharan Africa;Western Africa;Macroeconomic Analysis;National Accounting;Household Consumption;Household Expenditure;Taxes;Economic Indicators;Labour;Sex-disaggregated Data;Ghana;Dataset;2024;VyxvqIlX;\" data-sorttitle=\"2022SocialAccountingMatrixforGhana\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_163683\">2022 Social Accounting Matrix for Ghana<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163683\">Details<\/button><dialog id=\"dialog10568_163683\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163683\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">2022 Social Accounting Matrix for Ghana<\/h4>\n<p class=\"ifResourcesAbstractA\">The 2022 Ghana Social Accounting Matrix (SAM) follows IFPRI's Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI's website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/163683\">International Food Policy Research Institute (IFPRI). 2024. 2022 Social Accounting Matrix for Ghana. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/OPGYHL. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/163683\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Ghana<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Western Africa; Macroeconomic Analysis; National Accounting; Household Consumption; Household Expenditure; Taxes; Economic Indicators; Labour; Sex-disaggregated Data<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/opgyhl\" target=\"_blank\" data-identifier =\"10568\/163683\">https:\/\/doi.org\/10.7910\/dvn\/opgyhl<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/163683\" target=\"_blank\" data-identifier =\"10568\/163683\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Foresight<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Africa;Sub-saharan Africa;Eastern Africa;Macroeconomic Analysis;National Accounting;Household Consumption;Household Expenditure;Taxes;Economic Indicators;Labour;Sex-disaggregated Data;Malawi;Dataset;2024;VyxvqIlX;\" data-sorttitle=\"2022SocialAccountingMatrixforMalawi\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_163686\">2022 Social Accounting Matrix for Malawi<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163686\">Details<\/button><dialog id=\"dialog10568_163686\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163686\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">2022 Social Accounting Matrix for Malawi<\/h4>\n<p class=\"ifResourcesAbstractA\">The 2022 Malawi Social Accounting Matrix (SAM) follows IFPRI's Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI's website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/163686\">International Food Policy Research Institute (IFPRI). 2024. 2022 Social Accounting Matrix for Malawi. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/RX3FYD. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/163686\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Malawi<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Eastern Africa; Macroeconomic Analysis; National Accounting; Household Consumption; Household Expenditure; Taxes; Economic Indicators; Labour; Sex-disaggregated Data<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/rx3fyd\" target=\"_blank\" data-identifier =\"10568\/163686\">https:\/\/doi.org\/10.7910\/dvn\/rx3fyd<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/163686\" target=\"_blank\" data-identifier =\"10568\/163686\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Foresight<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Kula Vyema Centre;Eastern Africa;Sub-saharan Africa;Africa;Baseline Studies;Farming Systems;Smallholders;Agricultural Practices;Land Use;Nutrition;Impact Assessment;Inclusion;Poverty Alleviation;Food Security;Community Involvement;Kenya;Dataset;2024;f3HfGMBf;\" data-sorttitle=\"Nature+QuantitativeBaselineHousehold&WorkerSurvey,Kenya\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_159271\">Nature+ Quantitative Baseline Household & Worker Survey, Kenya<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute; Kula Vyema Centre<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_159271\">Details<\/button><dialog id=\"dialog10568_159271\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_159271\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Nature+ Quantitative Baseline Household & Worker Survey, Kenya<\/h4>\n<p class=\"ifResourcesAbstractA\">In 2023, the Nature Positive Solutions (Nature+) baseline survey was conducted in Kenya, focusing on the Counties of Kisumu, Vihiga, and Kajiado. The study aimed to describe the socio-economic conditions and agricultural systems in these areas, providing a baseline assessment to inform ongoing Nature+ interventions. The survey covered 1,502 smallholder farmer households (752 treated and 750 control) across 25 villages.<br \/>\nData collection employed a two-stage sampling technique and assessed various variables, including socio-economic characteristics, agricultural practices, land use, nutrition, and adoption of Nature+ practices. This data will support the evaluation of Nature+'s impacts on inclusion, poverty reduction, food security, livelihoods, and environmental sustainability.<br \/>\nAdditionally, the survey included interviews with 1056 workers, covering socio-demographic characteristics, contract types, forced labor, harassment, workplace health and safety, wages, and overtime. All monetary variables are expressed in Kenyan Shilling (KSH).<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute; Kula Vyema Centre<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/159271\">International Food Policy Research Institute (IFPRI); Kula Vyema Centre (KVC). 2024. Nature+ Quantitative Baseline Household & Worker Survey, Kenya. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/QFQURF. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/159271\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Kenya<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Eastern Africa; Sub-saharan Africa; Africa; Baseline Studies; Farming Systems; Smallholders; Agricultural Practices; Land Use; Nutrition; Impact Assessment; Inclusion; Poverty Alleviation; Food Security; Community Involvement<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/qfqurf\" target=\"_blank\" data-identifier =\"10568\/159271\">https:\/\/doi.org\/10.7910\/dvn\/qfqurf<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/159271\" target=\"_blank\" data-identifier =\"10568\/159271\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Nature-Positive Solutions<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Tanzania;Africa;Sub-saharan Africa;Eastern Africa;Social Accounting Matrix;National Accounting;Household Consumption;Household Expenditure;Taxes;Economic Indicators;Labour;Dataset;2024;VyxvqIlX;\" data-sorttitle=\"2022SocialAccountingMatrixforTanzania\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_163693\">2022 Social Accounting Matrix for Tanzania<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163693\">Details<\/button><dialog id=\"dialog10568_163693\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163693\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">2022 Social Accounting Matrix for Tanzania<\/h4>\n<p class=\"ifResourcesAbstractA\">The 2022 Tanzania Social Accounting Matrix (SAM) follows IFPRI's Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI's website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/163693\">International Food Policy Research Institute (IFPRI). 2024. 2022 Social Accounting Matrix for Tanzania. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/CFYF98. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/163693\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Tanzania; Africa; Sub-saharan Africa; Eastern Africa; Social Accounting Matrix; National Accounting; Household Consumption; Household Expenditure; Taxes; Economic Indicators; Labour<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/cfyf98\" target=\"_blank\" data-identifier =\"10568\/163693\">https:\/\/doi.org\/10.7910\/dvn\/cfyf98<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/163693\" target=\"_blank\" data-identifier =\"10568\/163693\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Foresight<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Africa;Sub-saharan Africa;Northern Africa;Macroeconomic Analysis;National Accounting;Household Consumption;Household Expenditure;Taxes;Economic Indicators;Labour;Computable General Equilibrium Models;Agrifood Systems;Sudan;Dataset;2024;VyxvqIlX;\" data-sorttitle=\"2021SocialAccountingMatrixforSudan\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_163667\">2021 Social Accounting Matrix for Sudan<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163667\">Details<\/button><dialog id=\"dialog10568_163667\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163667\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">2021 Social Accounting Matrix for Sudan<\/h4>\n<p class=\"ifResourcesAbstractA\">The 2021 Sudan Social Accounting Matrix (SAM) follows IFPRI's Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI's website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/163667\">International Food Policy Research Institute (IFPRI). 2024. 2021 Social Accounting Matrix for Sudan. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/IKW7UT. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/163667\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Sudan<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Northern Africa; Macroeconomic Analysis; National Accounting; Household Consumption; Household Expenditure; Taxes; Economic Indicators; Labour; Computable General Equilibrium Models; Agrifood Systems<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/ikw7ut\" target=\"_blank\" data-identifier =\"10568\/163667\">https:\/\/doi.org\/10.7910\/dvn\/ikw7ut<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/163667\" target=\"_blank\" data-identifier =\"10568\/163667\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Foresight<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Africa;Sub-saharan Africa;Eastern Africa;Macroeconomic Analysis;National Accounting;Household Consumption;Household Expenditure;Taxes;Economic Indicators;Labour;Sex-disaggregated Data;Uganda;Dataset;2024;VyxvqIlX;\" data-sorttitle=\"2022SocialAccountingMatrixforUganda\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_163722\">2022 Social Accounting Matrix for Uganda<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163722\">Details<\/button><dialog id=\"dialog10568_163722\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163722\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">2022 Social Accounting Matrix for Uganda<\/h4>\n<p class=\"ifResourcesAbstractA\">The 2022 Uganda Social Accounting Matrix (SAM) follows IFPRI's Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI's website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/163722\">International Food Policy Research Institute (IFPRI). 2024. 2022 Social Accounting Matrix for Uganda. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/LKK29W. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/163722\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Uganda<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Eastern Africa; Macroeconomic Analysis; National Accounting; Household Consumption; Household Expenditure; Taxes; Economic Indicators; Labour; Sex-disaggregated Data<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/lkk29w\" target=\"_blank\" data-identifier =\"10568\/163722\">https:\/\/doi.org\/10.7910\/dvn\/lkk29w<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/163722\" target=\"_blank\" data-identifier =\"10568\/163722\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Foresight<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Africa;Sub-saharan Africa;Eastern Africa;Social Accounting Matrix;Household Consumption;Household Expenditure;Taxes;Economic Indicators;Labour;Computable General Equilibrium Models;Agrifood Systems;Rwanda;Dataset;2024;VyxvqIlX;\" data-sorttitle=\"2022SocialAccountingMatrixforRwanda\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_163695\">2022 Social Accounting Matrix for Rwanda<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163695\">Details<\/button><dialog id=\"dialog10568_163695\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163695\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">2022 Social Accounting Matrix for Rwanda<\/h4>\n<p class=\"ifResourcesAbstractA\">The 2022 Rwanda Social Accounting Matrix (SAM) follows IFPRI's Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI's website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/163695\">International Food Policy Research Institute (IFPRI). 2024. 2022 Social Accounting Matrix for Rwanda. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/JRLHAT. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/163695\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Rwanda<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Eastern Africa; Social Accounting Matrix; Household Consumption; Household Expenditure; Taxes; Economic Indicators; Labour; Computable General Equilibrium Models; Agrifood Systems<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/jrlhat\" target=\"_blank\" data-identifier =\"10568\/163695\">https:\/\/doi.org\/10.7910\/dvn\/jrlhat<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/163695\" target=\"_blank\" data-identifier =\"10568\/163695\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Foresight<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Africa;Sub-saharan Africa;Eastern Africa;Agrifood Systems;Small and Medium Enterprises;Value Chains;Networks;Soybeans;Coffee;Uganda;Dataset;2024;\" data-sorttitle=\"SurveyofMicro,Small,andMediumEnterprisesinAgri-FoodValueChains:Network-BasedRecruitment\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_159851\">Survey of Micro, Small, and Medium Enterprises in Agri-Food Value Chains: Network-Based Recruitment Approach in Uganda<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_159851\">Details<\/button><dialog id=\"dialog10568_159851\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_159851\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Survey of Micro, Small, and Medium Enterprises in Agri-Food Value Chains: Network-Based Recruitment Approach in Uganda<\/h4>\n<p class=\"ifResourcesAbstractA\">The datasets and questionnaires included in this package are derived from the second phase of the International Food Policy Research Institute (IFPRI) project titled \"Digital Financial Services Adoption among Small and Medium Enterprises (SMEs) in the Midstream of Agricultural Value Chains.\" This project focused on midstream actors within the arabica coffee and soybean value chains in Uganda, utilizing tailored surveys to assess their financial capabilities and constraints. The surveys were conducted in May and June 2023 across the Mbale, Kasese, and Lira districts. The data collection was carried out iteratively to gather information about intermediary actors at various stages of the agri-food value chain. In randomly selected villages within the primary study districts, a small group of farmers participated in a brief survey to identify intermediary actors to whom they had sold commodities in the past 30 days. The identified intermediary actors were then contacted and interviewed using a comprehensive intermediary actor survey. In total, 433 coffee farmers and 247 soybean farmers were interviewed in Uganda. The midstream actor sample for the coffee value chain includes 1,401 traders, 111 processors, 334 wholesalers, and 16 aggregators. For the soybean value chain, the sample consists of 507 traders, 2 processors, 280 wholesalers, 9 storage facilities, and 37 aggregators.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/159851\">International Food Policy Research Institute (IFPRI). 2024. Survey of Micro, Small, and Medium Enterprises in Agri-Food Value Chains: Network-Based Recruitment Approach in Uganda. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/EXJKYH. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/159851\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Uganda<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Eastern Africa; Agrifood Systems; Small and Medium Enterprises; Value Chains; Networks; Soybeans; Coffee<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/exjkyh\" target=\"_blank\" data-identifier =\"10568\/159851\">https:\/\/doi.org\/10.7910\/dvn\/exjkyh<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/159851\" target=\"_blank\" data-identifier =\"10568\/159851\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Crops Research Institute for the Semi-Arid Tropics;Tanzania;Africa;Sub-saharan Africa;Eastern Africa;Pigeon Peas;Children;School Children;Food Consumption;Dataset;2024;\" data-sorttitle=\"DriversofPigeonPeasConsumptionAmongSchoolAgedChildreninCentralTanzania\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168085\">Drivers of Pigeon Peas Consumption Among School Aged Children in Central Tanzania<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">International Crops Research Institute for the Semi-Arid Tropics<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168085\">Details<\/button><dialog id=\"dialog10568_168085\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168085\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Drivers of Pigeon Peas Consumption Among School Aged Children in Central Tanzania<\/h4>\n<p class=\"ifResourcesAbstractA\">Data was collected from 138 caregivers of reproductive age (20-49 years) residing in four villages\u2014Laikala, Mlali, Moleti, and Chitego\u2014in Kongwa District, Dodoma Region, Tanzania. The caregivers were from households with school-aged children (5\u201312 years) and were randomly selected using the random walk sampling method. In each selected household, one caregiver was chosen based on their prior knowledge and consumption of pigeon pea, as well as their willingness to participate in the study. The data collection involved a questionnaire designed to combine the Theory of Planned Behavior (TPB) and the Health Belief Model (HBM). This questionnaire assessed both internal and external factors influencing caregivers' choices regarding pigeon pea consumption for their children. Respondents indicated their level of agreement or disagreement with various statements on a Likert scale, as read by interviewers. This cross-sectional data is intended to provide insights into the factors affecting pigeon pea consumption and is valuable for developing programs and interventions aimed at increasing its intake in the Kongwa District.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Crops Research Institute for the Semi-Arid Tropics<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168085\">International Crops Research Institute for the Semi-Arid Tropics (ICRISAT). 2022. Drivers of Pigeon Peas Consumption Among School Aged Children in Central Tanzania. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/VFF2EE. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168085\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Tanzania; Africa; Sub-saharan Africa; Eastern Africa; Pigeon Peas; Children; School Children; Food Consumption<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/vff2ee\" target=\"_blank\" data-identifier =\"10568\/168085\">https:\/\/doi.org\/10.7910\/dvn\/vff2ee<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168085\" target=\"_blank\" data-identifier =\"10568\/168085\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Measures for Advancing Gender Equality (MAGNET) Initiative;Africa;Sub-saharan Africa;Gender Equality;Women;Women's Empowerment;Efficiency;Data Collection;Research;Survey Methods;Households;Dataset;2024;\" data-sorttitle=\"GeneralizedLivelihoodsSelf-efficacyScale\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168069\">Generalized Livelihoods Self-efficacy Scale<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">Measures for Advancing Gender Equality (MAGNET) Initiative<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168069\">Details<\/button><dialog id=\"dialog10568_168069\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168069\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Generalized Livelihoods Self-efficacy Scale<\/h4>\n<p class=\"ifResourcesAbstractA\">The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women\u2019s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women\u2019s agency is, how it manifests and how it can best be measured across contexts given the research question at hand. Improving women\u2019s self-efficacy, or their belief in own capabilities to act effectively towards their own goals, is an important and urgent policy goal. The 10-item Generalized Livelihoods Self-efficacy Scale allows us to measure self-efficacy applicable to general economic activities. As opposed to treating it as a generalized personality trait or as a domain-specific construct, it intends to be a measure that is applicable across economic activities and to capture livelihoods in general in low-income contexts. It is designed to capture both control over economic decisions and resources and the ability to engage in economic activities. This tool is suited for surveys run by NSOs, other nationally representative individual- or household-level surveys, and for targeted thematic or impact evaluation surveys designed to understand individuals' agency and decision-making. Other variables you may want to collect alongside this tool include engagement in income-generating activities, individual income, and MAGNET\u2019s goal-setting capacity scale.<br \/>\nThis data study includes following files.<br \/>\n1. A survey document (including implementation guidelines).<br \/>\n2. Two files, CAPI_Choices and CAPI_Survey, along with the accompanying files, can be used to construct a CAPI program ready for survey implementation. Alternatively, users can use an Excel workbook \"CAPI_.xlsx\" that includes worksheets for survey and choices, along with others, for constructing a CAPI program ready for survey implementation.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Measures for Advancing Gender Equality (MAGNET) Initiative<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168069\">Measures for Advancing Gender Equality (MAGNET) Initiative. 2024. Generalized Livelihoods Self-efficacy Scale. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/KVKUS4. Harvard Dataverse. Version 3.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168069\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Gender Equality; Women; Women's Empowerment; Efficiency; Data Collection; Research; Survey Methods; Households<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/kvkus4\" target=\"_blank\" data-identifier =\"10568\/168069\">https:\/\/doi.org\/10.7910\/dvn\/kvkus4<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168069\" target=\"_blank\" data-identifier =\"10568\/168069\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Africa;Sub-saharan Africa;Gender;Women;Women's Empowerment;Malawi;Dataset;2024;\" data-sorttitle=\"Project-levelWomen\u2019sEmpowermentinAgricultureIndexforMarketInclusion(Pro-WEAI+MI):Malawi\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168181\">Project-level Women\u2019s Empowerment in Agriculture Index for Market Inclusion (Pro-WEAI+MI): Malawi Case Study<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168181\">Details<\/button><dialog id=\"dialog10568_168181\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168181\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Project-level Women\u2019s Empowerment in Agriculture Index for Market Inclusion (Pro-WEAI+MI): Malawi Case Study<\/h4>\n<p class=\"ifResourcesAbstractA\">The project-level Women\u2019s Empowerment in Agriculture Index for market inclusion (pro-WEAI+MI) is a modified version of the pro-WEAI that captures empowerment across commodity value chains (VC), VC actors, and beneficiaries of VC\/training interventions. This dataset from Malawi is one of four country case studies that developed additional market inclusion (+MI) indicators to complement the pro-WEAI. The Malawi case study was conducted as part of the Agricultural Technical Vocational Education and Training for Women (ATVET4W) Program, a gender-sensitive approach to technical training and market linkages in priority agricultural value chains led by the African Union Development Agency-New Partnership for Africa\u2019s Development (AUDA-NEPAD) and Deutsche Gesellschaft f\u00fcr Internationale Zusammenarbeit (GIZ). To compare program beneficiaries versus non-beneficiaries, a household survey was collected from September to October 2019 in five districts where ATVET4W has (1) started some activities, (2) shown initial commitment from a community college, and (3) shown a high likelihood to continue with the program. These districts cover different regions (North, Central, South), agroecological zones, and socioeconomic profiles. This data package includes the pro-WEAI+MI questions implemented in Malawi, basic household and demographic information, and constructed pro-WEAI and +MI indicators.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168181\">International Food Policy Research Institute (IFPRI). 2023. Project-Level Women\u2019s Empowerment in Agriculture Index for Market Inclusion (Pro-weai+MI): Malawi Case Study. Washington, DC: IFPRI [Dataset]. https:\/\/doi.org\/10.7910\/DVN\/QQABTY. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168181\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Malawi<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Gender; Women; Women's Empowerment<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/qqabty\" target=\"_blank\" data-identifier =\"10568\/168181\">https:\/\/doi.org\/10.7910\/dvn\/qqabty<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168181\" target=\"_blank\" data-identifier =\"10568\/168181\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Measures for Advancing Gender Equality (MAGNET) Initiative;Africa;Sub-saharan Africa;Gender Equality;Women;Women's Empowerment;Labour;Data Collection;Research;Survey Methods;Households;Dataset;2024;\" data-sorttitle=\"CognitiveLabor\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168081\">Cognitive Labor<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">Measures for Advancing Gender Equality (MAGNET) Initiative<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168081\">Details<\/button><dialog id=\"dialog10568_168081\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168081\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Cognitive Labor<\/h4>\n<p class=\"ifResourcesAbstractA\">The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women\u2019s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women\u2019s agency is, how it manifests and how it can best be measured across contexts given the research question at hand. Cognitive labor refers to the mental work associated with anticipating the needs of family members (especially children), identifying options for meeting those needs, deciding among the options, and monitoring the results of those decisions (Daminger 2019). Although distinct from the physical dimensions of unpaid care and domestic labor, like these activities, cognitive labor is viewed in many societies as primarily women\u2019s responsibility. Cognitive labor is, thus, an important component of gender inequality within households. This tool measures cognitive labor in association with different agricultural and non-agricultural activities using easily understandable language (\u201cthinking and planning\u201d). We recommend the use of this tool in the design, monitoring, and evaluation of development programs aimed at improving women\u2019s empowerment and reducing women\u2019s work burdens.<br \/>\nThis data study includes following files.<br \/>\n1. A survey document (including implementation guidelines).<br \/>\n2. Two files, CAPI_Choices and CAPI_Survey, along with the accompanying files, can be used to construct a CAPI program ready for survey implementation. Alternatively, users can use an Excel workbook \"CAPI_.xlsx\" that includes worksheets for survey and choices, along with others, for constructing a CAPI program ready for survey implementation.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Measures for Advancing Gender Equality (MAGNET) Initiative<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168081\">Measures for Advancing Gender Equality (MAGNET) Initiative. 2024. Cognitive Labor. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/FPQUCV. Harvard Dataverse. Version 3.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168081\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Gender Equality; Women; Women's Empowerment; Labour; Data Collection; Research; Survey Methods; Households<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/fpqucv\" target=\"_blank\" data-identifier =\"10568\/168081\">https:\/\/doi.org\/10.7910\/dvn\/fpqucv<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168081\" target=\"_blank\" data-identifier =\"10568\/168081\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Measures for Advancing Gender Equality (MAGNET) Initiative;Africa;Sub-saharan Africa;Gender Equality;Women;Women's Empowerment;Time;Time Use Patterns;Data Collection;Research;Survey Methods;Dataset;2024;H7rxN6vU;\" data-sorttitle=\"Time-useAgency\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168691\">Time-use Agency<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">Measures for Advancing Gender Equality (MAGNET) Initiative<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168691\">Details<\/button><dialog id=\"dialog10568_168691\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168691\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Time-use Agency<\/h4>\n<p class=\"ifResourcesAbstractA\">The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women\u2019s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women\u2019s agency is, how it manifests and how it can best be measured across contexts given the research question at hand. Time allocations display highly gendered patterns across the globe. Women experience much higher levels of time poverty due to the disproportionate share of care and domestic work they bear. The standard time-use modules allow us to understand how individuals allocate their time across different activities. But they are silent on individuals\u2019 preferences regarding such allocations. This tool aims to measure time-use agency, defined as the confidence in and the ability to make an act upon strategic choices about how to allocate one\u2019s time.<br \/>\nThis data study includes following files.<br \/>\n1. A survey document (including implementation guidelines)<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Measures for Advancing Gender Equality (MAGNET) Initiative<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168691\">Measures for Advancing Gender Equality (MAGNET) Initiative. 2024. Time-use Agency. Washington, DC: International Food Policy Research Institute (IFPRI) [Survey Instrument]. https:\/\/doi.org\/10.7910\/DVN\/KKJBLW. Harvard Dataverse, V2<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168691\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Gender Equality; Women; Women's Empowerment; Time; Time Use Patterns; Data Collection; Research; Survey Methods<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/kkjblw\" target=\"_blank\" data-identifier =\"10568\/168691\">https:\/\/doi.org\/10.7910\/dvn\/kkjblw<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168691\" target=\"_blank\" data-identifier =\"10568\/168691\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Gender Equality<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Measures for Advancing Gender Equality (MAGNET) Initiative;Africa;Sub-saharan Africa;Gender Equality;Women;Women's Empowerment;Collective Action;Efficiency;Data Collection;Research;Survey Methods;Households;Dataset;2024;\" data-sorttitle=\"CollectiveAgency\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168083\">Collective Agency<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">Measures for Advancing Gender Equality (MAGNET) Initiative<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168083\">Details<\/button><dialog id=\"dialog10568_168083\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168083\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Collective Agency<\/h4>\n<p class=\"ifResourcesAbstractA\">The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women\u2019s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women\u2019s agency is, how it manifests and how it can best be measured across contexts given the research question at hand. Collective agency, or \u201cpower with\u201d, is a critical component of women\u2019s empowerment beyond the household. At the individual level, women often rely on groups to identify and achieve goals that advance them professionally, socially, economically, and politically. Within their homes, participation in groups can empower women by improving self-efficacy and self-esteem. Groups\u2014whether entirely comprised of women, or mixed gender\u2014can provide the skills and experience necessary for women, individually and collectively, to build agency, increase productivity, incomes, reduce workloads, and improve resilience. We recommend the use of this tool, Collective Agency, in the design, monitoring, and evaluation of group-based development programs aimed at improving women\u2019s empowerment.<br \/>\nThis data study includes following files.<br \/>\n1. A survey document (including implementation guidelines)<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Measures for Advancing Gender Equality (MAGNET) Initiative<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168083\">Measures for Advancing Gender Equality (MAGNET) Initiative. 2024. Collective Agency. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/NHWJSJ. Harvard Dataverse. Version 2.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168083\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Gender Equality; Women; Women's Empowerment; Collective Action; Efficiency; Data Collection; Research; Survey Methods; Households<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/nhwjsj\" target=\"_blank\" data-identifier =\"10568\/168083\">https:\/\/doi.org\/10.7910\/dvn\/nhwjsj<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168083\" target=\"_blank\" data-identifier =\"10568\/168083\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Measures for Advancing Gender Equality (MAGNET) Initiative;Africa;Sub-saharan Africa;Gender Equality;Women;Women's Empowerment;Motivation;Data Collection;Research;Survey Methods;Households;Dataset;2024;\" data-sorttitle=\"MotivationalAutonomyandInternalizedNorms\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168067\">Motivational Autonomy and Internalized Norms<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">Measures for Advancing Gender Equality (MAGNET) Initiative<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168067\">Details<\/button><dialog id=\"dialog10568_168067\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168067\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Motivational Autonomy and Internalized Norms<\/h4>\n<p class=\"ifResourcesAbstractA\">The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women\u2019s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women\u2019s agency is, how it manifests and how it can best be measured across contexts given the research question at hand. A key component of Self-Determination Theory (Ryan and Deci 2000), motivational autonomy conceptualizes human behavior as driven by distinct types of motivation. Behavior that reflects individuals\u2019 own values and interests is seen as autonomous and intrinsically motivated. Behavior taken to avoid punishment and blame or to gain reward or favor among other people is seen as extrinsically motivated. This survey tool, Motivational Autonomy and Internalized Norms, includes vignettes measuring four different types of motivation, ranging from the most autonomous (intrinsic, integrated) to the least autonomous (introjected, external). We recommend the use of this tool in the design, monitoring, and evaluation of development programs aimed at improving women\u2019s empowerment.<br \/>\nThis data study includes following files.<br \/>\n1. A survey document (including implementation guidelines)<br \/>\n2.Two files, CAPI_Choices and CAPI_Survey, along with the accompanying files, can be used to construct a CAPI program ready for survey implementation. Alternatively, users can use an Excel workbook \"CAPI_.xlsx\" that includes worksheets for survey and choices, along with others, for constructing a CAPI program ready for survey implementation.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Measures for Advancing Gender Equality (MAGNET) Initiative<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168067\">Measures for Advancing Gender Equality (MAGNET) Initiative. 2024. Motivational Autonomy and Internalized Norms. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/M9SQSS. Harvard Dataverse. Version 3.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168067\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Gender Equality; Women; Women's Empowerment; Motivation; Data Collection; Research; Survey Methods; Households<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/m9sqss\" target=\"_blank\" data-identifier =\"10568\/168067\">https:\/\/doi.org\/10.7910\/dvn\/m9sqss<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168067\" target=\"_blank\" data-identifier =\"10568\/168067\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Measures for Advancing Gender Equality (MAGNET) Initiative;Africa;Sub-saharan Africa;Gender Equality;Women;Women's Empowerment;Data Collection;Research;Survey Methods;Households;Dataset;2024;\" data-sorttitle=\"GenderInequality:CriticalConsciousnessScale\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168070\">Gender Inequality: Critical Consciousness Scale<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">Measures for Advancing Gender Equality (MAGNET) Initiative<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168070\">Details<\/button><dialog id=\"dialog10568_168070\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168070\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Gender Inequality: Critical Consciousness Scale<\/h4>\n<p class=\"ifResourcesAbstractA\">The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women\u2019s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women\u2019s agency is, how it manifests and how it can best be measured across contexts given the research question at hand. The policy goal of empowering women may be hindered by women\u2019s lack of perception of the degree of gender inequality, their actual desire for egalitarianism, and what they do to push for change. Critical consciousness is defined as the capacity of oppressed or marginalized people to critically analyze their social and political conditions, endorsement of societal equality, and action to change perceived inequities (Freire, 1973). This tool, Gender Inequality: Critical Consciousness Scale, fills a gap of measuring critical consciousness on gender inequality adapted to the Global South. The scale has three components: critical reflection (degree to which women are aware of the conditions that discriminate them), critical action (what they do to push for change), and critical motivation (desire for egalitarianism). This tool is suited for surveys run by NSOs, other nationally representative individual- or household-level surveys, and for targeted thematic or impact evaluation surveys. We recommend the use of this tool in the design, monitoring, and evaluation of development programs aimed at improving women\u2019s empowerment.<br \/>\nThis data study includes following files.<br \/>\n1. A survey document (including implementation guidelines).<br \/>\n2.Two files, CAPI_Choices and CAPI_Survey, along with the accompanying files, can be used to construct a CAPI program ready for survey implementation. Alternatively, users can use an Excel workbook \"CAPI_.xlsx\" that includes worksheets for survey and choices, along with others, for constructing a CAPI program ready for survey implementation.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Measures for Advancing Gender Equality (MAGNET) Initiative<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168070\">Measures for Advancing Gender Equality (MAGNET) Initiative. 2024. Gender Inequality: Critical Consciousness Scale. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/EZ2BJF. Harvard Dataverse. Version 3.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168070\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Gender Equality; Women; Women's Empowerment; Data Collection; Research; Survey Methods; Households<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/ez2bjf\" target=\"_blank\" data-identifier =\"10568\/168070\">https:\/\/doi.org\/10.7910\/dvn\/ez2bjf<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168070\" target=\"_blank\" data-identifier =\"10568\/168070\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Measures for Advancing Gender Equality (MAGNET) Initiative;Africa;Sub-saharan Africa;Gender Equality;Women;Women's Empowerment;Control Systems;Data Collection;Research;Survey Methods;Households;Dataset;2024;\" data-sorttitle=\"Short-formLocusofControlScale\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168207\">Short-form Locus of Control Scale<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">Measures for Advancing Gender Equality (MAGNET) Initiative<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168207\">Details<\/button><dialog id=\"dialog10568_168207\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168207\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Short-form Locus of Control Scale<\/h4>\n<p class=\"ifResourcesAbstractA\">The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women\u2019s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women\u2019s agency is, how it manifests and how it can best be measured across contexts given the research question at hand.<\/p>\n<p>Measuring an individual\u2019s agency requires understanding to what degree individuals believe they can purposefully achieve their goals (Kabeer 1999; Donald et al. 2020). A common conceptualization in psychology is an individual\u2019s locus of control (Rotter 1966): the degree to which an individual believes that events are caused by one\u2019s own behavior versus external factors (chance or powerful others). This construct is of policy interest because a greater internal locus of control is empirically associated with positive outcomes including human capital, technology adoption, employment outcomes, and savings. The 9-item Short-form Locus of Control Scale adapts the Sapp and Harrod (1993) scale, allowing us to capture who are the \u201cpowerful others\u201d that individuals have in mind when we try to measure individuals\u2019 external locus of control. This scale includes items that explicitly mention household and non-household members.<\/p>\n<p>This scale can be used to measure differences in internal locus of control within a population, determine where an individual\u2019s feeling of lack of control comes from, or to assess heterogeneity in the impact of a program by baseline levels of locus of control. Which \u201cpowerful others\u201d are included in the scale can be adapted depending on the context. For example, when administering this scale to adolescent girls, asking about parents or peers may be more relevant. This tool is suited for surveys run by NSOs, other nationally representative individual- or household-level surveys, and for targeted thematic or impact evaluation surveys designed to understand individuals' agency and decision-making.<\/p>\n<p>This data study includes following files.<br \/>\n1. A survey document (including implementation guidelines).<br \/>\n2.Two files, CAPI_Choices and CAPI_Survey, along with the accompanying files, can be used to construct a CAPI program ready for survey implementation. Alternatively, users can use an Excel workbook \"CAPI_.xlsx\" that includes worksheets for survey and choices, along with others, for constructing a CAPI program ready for survey implementation.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Measures for Advancing Gender Equality (MAGNET) Initiative<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168207\">Measures for Advancing Gender Equality (MAGNET) Initiative. 2024. Short-form Locus of Control Scale. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/IDCTVE. Harvard Dataverse. Version 2.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168207\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Gender Equality; Women; Women's Empowerment; Control Systems; Data Collection; Research; Survey Methods; Households<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/idctve\" target=\"_blank\" data-identifier =\"10568\/168207\">https:\/\/doi.org\/10.7910\/dvn\/idctve<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168207\" target=\"_blank\" data-identifier =\"10568\/168207\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Measures for Advancing Gender Equality (MAGNET) Initiative;Africa;Sub-saharan Africa;Gender Equality;Women;Women's Empowerment;Occupation;Data Collection;Research;Survey Methods;Households;Dataset;2024;\" data-sorttitle=\"GenderandOccupation:AutomaticCognitionTest\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168071\">Gender and Occupation: Automatic Cognition Test<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">Measures for Advancing Gender Equality (MAGNET) Initiative<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168071\">Details<\/button><dialog id=\"dialog10568_168071\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168071\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Gender and Occupation: Automatic Cognition Test<\/h4>\n<p class=\"ifResourcesAbstractA\">The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women\u2019s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women\u2019s agency is, how it manifests and how it can best be measured across contexts given the research question at hand. This tool, Gender and Occupation: Automatic Cognition Test, captures \u2018automatic cognition\u2019 (i.e., cognition that is fast, effortless, and occurs with little conscious awareness) regarding the gendered nature of specific activities and occupations. An increasing number of policy interventions aim to change gender norms and biased attitudes against women, including those regarding which occupations it is appropriate for women to work in. However, such implicit attitudes and biases are notoriously prone to measurement error. Rather than the more complex Implicit Association Test (IAT), this tool captures automatic cognition based on the simpler Affect Misattribution Procedure (Miles et al. 2019). This tool can be used to diagnose the strength of automatic cognitive processes regarding gender and occupations in a given population, but also to assess the impact of interventions aiming to shift attitudes or norms. Users may want to use this tool alongside other measures of gender attitudes, as well as the respondent\u2019s current occupation.<br \/>\nThis data study includes following files.<br \/>\n1. A survey document (including implementation guidelines).<br \/>\n2. Two files, CAPI_Choices and CAPI_Survey, along with the accompanying files, can be used to construct a CAPI program ready for survey implementation. Alternatively, users can use an Excel workbook \"CAPI_.xlsx\" that includes worksheets for survey and choices, along with others, for constructing a CAPI program ready for survey implementation.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Measures for Advancing Gender Equality (MAGNET) Initiative<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168071\">Measures for Advancing Gender Equality (MAGNET) Initiative. 2024. Gender and Occupation: Automatic Cognition Test. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/Y5JWAI. Harvard Dataverse. Version 3.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168071\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Gender Equality; Women; Women's Empowerment; Occupation; Data Collection; Research; Survey Methods; Households<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/y5jwai\" target=\"_blank\" data-identifier =\"10568\/168071\">https:\/\/doi.org\/10.7910\/dvn\/y5jwai<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168071\" target=\"_blank\" data-identifier =\"10568\/168071\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Measures for Advancing Gender Equality (MAGNET) Initiative;Africa;Sub-saharan Africa;Gender Equality;Women;Women's Empowerment;Data Collection;Research;Survey Methods;Households;Dataset;2024;H7rxN6vU;\" data-sorttitle=\"ValuationofTimeandMoney\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168692\">Valuation of Time and Money<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">Measures for Advancing Gender Equality (MAGNET) Initiative<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168692\">Details<\/button><dialog id=\"dialog10568_168692\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168692\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Valuation of Time and Money<\/h4>\n<p class=\"ifResourcesAbstractA\">The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women\u2019s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women\u2019s agency is, how it manifests and how it can best be measured across contexts given the research question at hand. This tool, Valuation of Time and Money, comprises survey questions, vignettes and a simple scale to understand how men and women value additional time (including work flexibility) versus additional income, their current level of control over their time and income, and their related gender attitudes. Understanding individuals\u2019 preferences over time and money is crucial for accurately capturing welfare and the impact of development programs. Moreover, measuring disparities in how men and women perceive and manage their time and financial resources is crucial for inclusive policymaking.<br \/>\nThis data study includes following files.<br \/>\n1. A survey document (including implementation guidelines).<br \/>\n2.Two files, CAPI_Choices and CAPI_Survey, along with the accompanying files, can be used to construct a CAPI program ready for survey implementation. Alternatively, users can use an Excel workbook \"CAPI_.xlsx\" that includes worksheets for survey and choices, along with others, for constructing a CAPI program ready for survey implementation.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Measures for Advancing Gender Equality (MAGNET) Initiative<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168692\">Measures for Advancing Gender Equality (MAGNET) Initiative. 2024. Valuation of Time and Money. Washington, DC: International Food Policy Research Institute (IFPRI) [Survey Instrument]. https:\/\/doi.org\/10.7910\/DVN\/TEJRWT. Harvard Dataverse. Version 3.0<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168692\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Gender Equality; Women; Women's Empowerment; Data Collection; Research; Survey Methods; Households<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/tejrwt\" target=\"_blank\" data-identifier =\"10568\/168692\">https:\/\/doi.org\/10.7910\/dvn\/tejrwt<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168692\" target=\"_blank\" data-identifier =\"10568\/168692\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Gender Equality<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Measures for Advancing Gender Equality (MAGNET) Initiative;Africa;Sub-saharan Africa;Gender Equality;Women;Women's Empowerment;Data Collection;Research;Survey Methods;Households;Dataset;2024;\" data-sorttitle=\"AlgorithmicAssessmentofAgency\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_163744\">Algorithmic Assessment of Agency<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">Measures for Advancing Gender Equality (MAGNET) Initiative<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163744\">Details<\/button><dialog id=\"dialog10568_163744\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163744\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Algorithmic Assessment of Agency<\/h4>\n<p class=\"ifResourcesAbstractA\">The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women\u2019s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women\u2019s agency is, how it manifests and how it can best be measured across contexts given the research question at hand. Measuring women\u2019s agency with women\u2019s own narratives through open-ended interviews is considered the gold-standard. Yet the data processing relies on hand-coding presenting limitations related to budget, time, and discretion of annotators. This tool, Algorithmic Assessment of Agency, is a text-analysis measure of women\u2019s agency, drawing on text-to-speech transcripts of women\u2019s answers to open-ended questions. This method will adapt the Franzosi (1994, 2004) methodology for analyzing semi-structured interviews, attributing an automated agency score to women\u2019s narratives about how they make decisions, how they live their life and how this compares to their preferences. These questions are well-suited for surveys for targeted thematic or impact evaluation surveys designed to understand individuals' agency and decision-making. We recommend the use of this tool in the design, monitoring, and evaluation of development programs aimed at improving women\u2019s empowerment.<br \/>\nThis data study includes following files.<br \/>\n1. A survey document (including implementation guidelines).<br \/>\n2. Two files, CAPI_Choices and CAPI_Survey, along with the accompanying files, can be used to construct a CAPI program ready for survey implementation. Alternatively, users can use an Excel workbook \"CAPI_.xlsx\" that includes worksheets for survey and choices, along with others, for constructing a CAPI program ready for survey implementation.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Measures for Advancing Gender Equality (MAGNET) Initiative<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/163744\">Measures for Advancing Gender Equality (MAGNET) Initiative. 2024. Algorithmic Assessment of Agency. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/IXQ7KW. Harvard Dataverse. Version 2.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/163744\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Gender Equality; Women; Women's Empowerment; Data Collection; Research; Survey Methods; Households<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/ixq7kw\" target=\"_blank\" data-identifier =\"10568\/163744\">https:\/\/doi.org\/10.7910\/dvn\/ixq7kw<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/163744\" target=\"_blank\" data-identifier =\"10568\/163744\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Measures for Advancing Gender Equality (MAGNET) Initiative;Africa;Sub-saharan Africa;Gender Equality;Women;Women's Empowerment;Agriculture;Efficiency;Data Collection;Research;Survey Methods;Households;Dataset;2024;\" data-sorttitle=\"AgriculturalSelf-efficacyScale\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_163742\">Agricultural Self-efficacy Scale<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">Measures for Advancing Gender Equality (MAGNET) Initiative<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163742\">Details<\/button><dialog id=\"dialog10568_163742\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163742\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Agricultural Self-efficacy Scale<\/h4>\n<p class=\"ifResourcesAbstractA\">The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women\u2019s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women\u2019s agency is, how it manifests and how it can best be measured across contexts given the research question at hand. Improving women\u2019s self-efficacy\u2014that is, their belief in their capabilities to act effectively towards a goal\u2014is an important and urgent policy goal. Despite being the sector that employs most of the labor force across the Global South, how to measure self-efficacy in agricultural activities in low-income countries remains understudied. This 10-item Agricultural Self-efficacy Scale allows us to capture the extent to which individuals believe in their own capacity to reach goals regarding different common activities in agriculture, grounded in McGee et al.\u2019s (2009) framework for measuring entrepreneurial self-efficacy. This scale can be used to assess levels of agricultural self-efficacy in a population, determine which sub-domains of self-efficacy are strongest or weakest (e.g., managing labor or obtaining a loan) as well as to assess the impact of agriculture-related projects. This tool is suited for surveys run by NSOs, other nationally representative individual- or household-level surveys, and for targeted thematic or impact evaluation surveys designed to understand individuals' agency and decision-making.<br \/>\nThis data study includes following files.<br \/>\n1. A survey document (including implementation guidelines).<br \/>\n2. Two files, CAPI_Choices and CAPI_Survey, along with the accompanying files, can be used to construct a CAPI program ready for survey implementation. Alternatively, users can use an Excel workbook \"CAPI_.xlsx\" that includes worksheets for survey and choices, along with others, for constructing a CAPI program ready for survey implementation.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Measures for Advancing Gender Equality (MAGNET) Initiative<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/163742\">Measures for Advancing Gender Equality (MAGNET) Initiative. 2024. Agricultural Self-efficacy Scale. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/FSKWIY. Harvard Dataverse. Version 2.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/163742\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Gender Equality; Women; Women's Empowerment; Agriculture; Efficiency; Data Collection; Research; Survey Methods; Households<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/fskwiy\" target=\"_blank\" data-identifier =\"10568\/163742\">https:\/\/doi.org\/10.7910\/dvn\/fskwiy<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/163742\" target=\"_blank\" data-identifier =\"10568\/163742\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Measures for Advancing Gender Equality (MAGNET) Initiative;Africa;Sub-saharan Africa;Gender Equality;Women;Decision Making;Women's Empowerment;Data Collection;Research;Survey Methods;Dataset;2024;H7rxN6vU;\" data-sorttitle=\"UnpackingJointDecision-making\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168696\">Unpacking Joint Decision-making<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">Measures for Advancing Gender Equality (MAGNET) Initiative<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168696\">Details<\/button><dialog id=\"dialog10568_168696\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168696\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Unpacking Joint Decision-making<\/h4>\n<p class=\"ifResourcesAbstractA\">The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women\u2019s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women\u2019s agency is, how it manifests and how it can best be measured across contexts given the research question at hand. Improving women\u2019s decision-making power is crucial for advancing gender equality. But evidence shows that wives and husbands have systematically different perceptions of who makes these decisions across contexts and intra-household disagreement is often not random; women \u201ctaking power\u201d correlates with other women\u2019s empowerment variables. This could be because the standard decision-making answer options \u201cwife, husband, joint\u201d is too categorical and it does not allow us to capture the strength in decision-making power (thinking it as a continuum), or because men and women have a different understanding of what sole\/joint decision-making is. This tool, Unpacking Joint Decision-making, allows us to elicit responses regarding subjective assessments of a hypothetical married couple under different scenarios that involve the wife and the husband making household decisions around large household purchases. This tool is suited for nationally representative individual- or household-level surveys, and for targeted thematic or impact evaluation surveys designed to understand individuals' agency and decision-making.<br \/>\nThis data study includes following files.<br \/>\n1. A survey document (including implementation guidelines)<br \/>\n2. Two files, CAPI_Choices and CAPI_Survey, along with the accompanying files, can be used to construct a CAPI program ready for survey implementation. Alternatively, users can use an Excel workbook \"CAPI_.xlsx\" that includes worksheets for survey and choices, along with others, for constructing a CAPI program ready for survey implementation.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Measures for Advancing Gender Equality (MAGNET) Initiative<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168696\">Measures for Advancing Gender Equality (MAGNET) Initiative. 2024. Unpacking Joint Decision-making. Washington, DC: International Food Policy Research Institute [Survey Instrument]. https:\/\/doi.org\/10.7910\/DVN\/ZTWQAL. Harvard Dataverse. Version 2.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168696\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Gender Equality; Women; Decision Making; Women's Empowerment; Data Collection; Research; Survey Methods<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/ztwqal\" target=\"_blank\" data-identifier =\"10568\/168696\">https:\/\/doi.org\/10.7910\/dvn\/ztwqal<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168696\" target=\"_blank\" data-identifier =\"10568\/168696\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Gender Equality<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Measures for Advancing Gender Equality (MAGNET) Initiative;Africa;Sub-saharan Africa;Gender Equality;Women;Women's Empowerment;Conflicts;Data Collection;Research;Survey Methods;Households;Dataset;2024;\" data-sorttitle=\"Intra-personalConflictStrategies\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168065\">Intra-personal Conflict Strategies<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">Measures for Advancing Gender Equality (MAGNET) Initiative<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168065\">Details<\/button><dialog id=\"dialog10568_168065\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168065\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Intra-personal Conflict Strategies<\/h4>\n<p class=\"ifResourcesAbstractA\">The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women\u2019s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women\u2019s agency is, how it manifests and how it can best be measured across contexts given the research question at hand. Evidence suggests the process of decision-making itself\u2014in addition to the final outcome\u2014has important implications for households. This tool, Intra-personal Conflict Strategies, aims to deepen our understanding of how decisions are made when spouses have different preferences or constraints. When household members agree on the decision (regardless of the motivations), the decision-making process is relatively simple to understand. But when differences in opinions arise, the intrahousehold decision-making process can be more complex. It is important to understand differences in intra-personal conflict styles and how these differences impact the decision-making outcomes within the household. This tool uses vignettes aimed to capture five potential conflict strategies in which individuals may engage (avoidance, dominance, compromise, obliging, and collaboration). The vignettes build on Rahim \u2019s (1983) Model of Conflict Management styles for interpersonal conflicts, which is widely used to assess conflict behavior of individuals across five styles: (1) Avoidance, (2) Dominance, (3) Compromise, (4) Obliging, and (5) Collaboration. This information could be used to develop appropriate interventions that recognize the various types of conflict strategies people in a given area use within household decision-making. It may also be used to characterize household types for further analysis.<br \/>\nThis data study includes following files.<br \/>\n1. A survey document (including implementation guidelines)<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Measures for Advancing Gender Equality (MAGNET) Initiative<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168065\">Measures for Advancing Gender Equality (MAGNET) Initiative. 2024. Intra-personal Conflict Strategies. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/LY4OZN. Harvard Dataverse. Version 2.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168065\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Gender Equality; Women; Women's Empowerment; Conflicts; Data Collection; Research; Survey Methods; Households<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/ly4ozn\" target=\"_blank\" data-identifier =\"10568\/168065\">https:\/\/doi.org\/10.7910\/dvn\/ly4ozn<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168065\" target=\"_blank\" data-identifier =\"10568\/168065\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Measures for Advancing Gender Equality (MAGNET) Initiative;Africa;Sub-saharan Africa;Gender Equality;Women;Assets;Ownership;Women's Empowerment;Property Rights;Data Collection;Research;Survey Methods;Households;Dataset;2024;\" data-sorttitle=\"PreferencesOverDecision-Making\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168169\">Preferences Over Decision-Making<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">Measures for Advancing Gender Equality (MAGNET) Initiative<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168169\">Details<\/button><dialog id=\"dialog10568_168169\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168169\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Preferences Over Decision-Making<\/h4>\n<p class=\"ifResourcesAbstractA\">The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women\u2019s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women\u2019s agency is, how it manifests and how it can best be measured across contexts given the research question at hand. Improving women\u2019s decision-making power is crucial for advancing gender equality and is most commonly measured by asking respondents who usually makes decisions over a standard set of domains (e.g., major household purchases, children\u2019s education, health, how earned money is used, etc.). However, interpreting being a decision maker as a proxy of empowerment is only valid if the respondent desires to be involved in the decision. It is not hard to imagine situations in which not being a decision maker reflects an individual acting on their own desires. Understanding preferences and mechanisms behind desired non-involvement provides critical information to inform global initiatives designed to promote women\u2019s decision-making power and agency. This tool, Preferences over Decision-making, aims to capture whether respondents want to be involved in the decisions they are part of and those they are not part of, as well as the reasons for which they might not want to be involved. This tool is suited for nationally representative individual- or household-level surveys, and for targeted thematic or impact evaluation surveys designed to understand women\u2019s agency and decision-making. Other variables you may want to collect alongside this module include marital status and age.<br \/>\nThis data study includes following files.<br \/>\n1. A survey document (including implementation guidelines)<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Measures for Advancing Gender Equality (MAGNET) Initiative<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168169\">Measures for Advancing Gender Equality (MAGNET) Initiative. 2024. Preferences Over Decision-Making. Washington, DC: International Food Policy Research Institute (IFPRI). https:\/\/doi.org\/10.7910\/DVN\/M6F0UX. Harvard Dataverse. Version 3.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168169\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Gender Equality; Women; Assets; Ownership; Women's Empowerment; Property Rights; Data Collection; Research; Survey Methods; Households<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/m6f0ux\" target=\"_blank\" data-identifier =\"10568\/168169\">https:\/\/doi.org\/10.7910\/dvn\/m6f0ux<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168169\" target=\"_blank\" data-identifier =\"10568\/168169\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Measures for Advancing Gender Equality (MAGNET) Initiative;Africa;Sub-saharan Africa;Gender Equality;Women;Women's Empowerment;Data Collection;Research;Survey Methods;Households;Dataset;2024;\" data-sorttitle=\"EnumeratorCharacteristicsandReportingBias\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168074\">Enumerator Characteristics and Reporting Bias<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">Measures for Advancing Gender Equality (MAGNET) Initiative<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168074\">Details<\/button><dialog id=\"dialog10568_168074\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168074\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Enumerator Characteristics and Reporting Bias<\/h4>\n<p class=\"ifResourcesAbstractA\">The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women\u2019s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women\u2019s agency is, how it manifests and how it can best be measured across contexts given the research question at hand. Evidence suggests that men\u2019s and women\u2019s responses may be affected by the interview context. This tool allows identifying which enumerators\u2019 characteristics (e.g., gender, age, beliefs on women\u2019s rights) affect respondents\u2019 reporting and whether there are heterogeneities across genders and contexts. This tool, Enumerator Characteristics and Reporting Bias, should be administered to the enumerators before enumerators\u2019 training takes place and can be used to assess the need to randomize enumerators, design interventions at the enumerator-level, or control for enumerator characteristics while analyzing the survey data.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Measures for Advancing Gender Equality (MAGNET) Initiative<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168074\">Measures for Advancing Gender Equality (MAGNET) Initiative. 2024. Enumerator Characteristics and Reporting Bias. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/1WKIYN. Harvard Dataverse. Version 3.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168074\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Gender Equality; Women; Women's Empowerment; Data Collection; Research; Survey Methods; Households<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/1wkiyn\" target=\"_blank\" data-identifier =\"10568\/168074\">https:\/\/doi.org\/10.7910\/dvn\/1wkiyn<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168074\" target=\"_blank\" data-identifier =\"10568\/168074\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Measures for Advancing Gender Equality (MAGNET) Initiative;Africa;Sub-saharan Africa;Gender Equality;Women;Assets;Ownership;Women's Empowerment;Property Rights;Data Collection;Research;Survey Methods;Households;Dataset;2024;\" data-sorttitle=\"RightswhenLandisOwnedJointly\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168195\">Rights when Land is Owned Jointly<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">Measures for Advancing Gender Equality (MAGNET) Initiative<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168195\">Details<\/button><dialog id=\"dialog10568_168195\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168195\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Rights when Land is Owned Jointly<\/h4>\n<p class=\"ifResourcesAbstractA\">The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women\u2019s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women\u2019s agency is, how it manifests and how it can best be measured across contexts given the research question at hand.<\/p>\n<p>Expanding women\u2019s asset ownership is key not only for improving gender equality, but also for promoting economic development and wellbeing. But survey respondents often report owning assets jointly with others, including their spouses, children, and extended family. But it is not always clear what is meant by joint ownership and what rights or control the respondent has regarding the asset. Measuring the extent of women\u2019s property rights also requires understanding the role played by joint ownership. This tool, Rights when Land is Owned Jointly, allows us to elicit subjective assessments regarding the rights of each member of a hypothetical married couple who own property jointly, with variations on the type of ownership (joint vs. sole), mode of acquisition, and selling rights. To fully understand individuals\u2019 understanding of joint ownership, it is useful to have this tool alongside modules that solicit information on individual\u2019s ownership of the asset. This data study includes following files.<br \/>\n1. A survey document (including implementation guidelines)<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Measures for Advancing Gender Equality (MAGNET) Initiative<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168195\">Measures for Advancing Gender Equality (MAGNET) Initiative. 2024. Rights when Land is Owned Jointly. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/4BASAU. Harvard Dataverse. Version 2.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168195\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Gender Equality; Women; Assets; Ownership; Women's Empowerment; Property Rights; Data Collection; Research; Survey Methods; Households<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/4basau\" target=\"_blank\" data-identifier =\"10568\/168195\">https:\/\/doi.org\/10.7910\/dvn\/4basau<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168195\" target=\"_blank\" data-identifier =\"10568\/168195\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Measures for Advancing Gender Equality (MAGNET) Initiative;Africa;Sub-saharan Africa;Gender Equality;Women;Women's Empowerment;Decision Making;Data Collection;Research;Survey Methods;Households;Dataset;2024;\" data-sorttitle=\"BandwidthDepletion\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_163753\">Bandwidth Depletion<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">Measures for Advancing Gender Equality (MAGNET) Initiative<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163753\">Details<\/button><dialog id=\"dialog10568_163753\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163753\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Bandwidth Depletion<\/h4>\n<p class=\"ifResourcesAbstractA\">The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women\u2019s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women\u2019s agency is, how it manifests and how it can best be measured across contexts given the research question at hand. Cognitive bandwidth depletion and scarcity mindset are well-studied in laboratory settings, and there is strong evidence base for how it impacts poor people. Scarcity mindset induced by financial constraints may result in reduced bandwidth to attend to other pressing tasks, leading to trade-off thinking or giving preference to decisions that may have positive benefits for meeting immediate needs, but may result in negative impacts on longer-term well-being. Understanding bandwidth depletion could shed light on mechanisms behind why or how households prioritize certain decisions. Currently, there is limited evidence in non-Western contexts and from studies outside of laboratory settings, as well as a lack of measures that work in these contexts. This tool, Bandwidth Depletion, consists of a self-reported bandwidth scale and Simon\u2019s circle task. This measurement tool is well suited for targeted thematic or impact evaluation surveys. Other variables that you may want to collect alongside the bandwidth depletion measure include education level, time use, household income, and food security.<br \/>\nThis data study includes following files.<br \/>\n1. A survey document (including implementation guidelines)<br \/>\n2. A statistical annex containing more information about the validation of the tool, as well as statistical guidance for analysis<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Measures for Advancing Gender Equality (MAGNET) Initiative<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/163753\">Measures for Advancing Gender Equality (MAGNET) Initiative. 2024. Bandwidth Depletion. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/XYEYKK. Harvard Dataverse. Version 2.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/163753\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Gender Equality; Women; Women's Empowerment; Decision Making; Data Collection; Research; Survey Methods; Households<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/xyeykk\" target=\"_blank\" data-identifier =\"10568\/163753\">https:\/\/doi.org\/10.7910\/dvn\/xyeykk<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/163753\" target=\"_blank\" data-identifier =\"10568\/163753\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Measures for Advancing Gender Equality (MAGNET) Initiative;Africa;Sub-saharan Africa;Gender Equality;Women;Women's Empowerment;Capacity Assessment;Data Collection;Research;Survey Methods;Households;Dataset;2024;\" data-sorttitle=\"Goal-settingCapacityScale\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168068\">Goal-setting Capacity Scale<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">Measures for Advancing Gender Equality (MAGNET) Initiative<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168068\">Details<\/button><dialog id=\"dialog10568_168068\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168068\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Goal-setting Capacity Scale<\/h4>\n<p class=\"ifResourcesAbstractA\">The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women\u2019s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women\u2019s agency is, how it manifests and how it can best be measured across contexts given the research question at hand. Improving women\u2019s ability to define goals and act on them is an important and urgent policy goal. Yet our understanding of how to achieve this goal is hampered by the lack of adequate measurement tools and recognized best practices. The 8-item Goal-setting Capacity Scale allows researchers to capture an individual\u2019s goal-setting capacity. Goal-setting capacity is a process that establishes specific, time-based behaviors that are measurable, achievable, and realistic. They can be related to both economic and non-economic activities. In terms of timing, they can be short-term (e.g., saving money for a small household purchase, learning a new skill) or long-term (e.g., saving money for a large household purchase, achieving some level of education). Other variables that you may want to collect alongside goal-setting capacity are education level, employment status, age, and MAGNET\u2019s livelihoods self-efficacy scale.<br \/>\nThis data study includes following files.<br \/>\n1. A survey document (including implementation guidelines).<br \/>\n2. A statistical annex containing more information about the validation of the tool, as well as statistical guidance for analysis.<br \/>\n3. Two files, CAPI_Choices and CAPI_Survey, along with the accompanying help files, can be used to construct a CAPI program ready for survey implementation. Alternatively, users can use an Excel workbook \"CAPI_.xlsx\" that includes worksheets for survey and choices, along with help files, for constructing a CAPI program ready for survey implementation.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Measures for Advancing Gender Equality (MAGNET) Initiative<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168068\">Measures for Advancing Gender Equality (MAGNET) Initiative. 2024. Goal-setting Capacity Scale. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/3XWMDV. Harvard Dataverse. Version 3.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168068\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Gender Equality; Women; Women's Empowerment; Capacity Assessment; Data Collection; Research; Survey Methods; Households<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/3xwmdv\" target=\"_blank\" data-identifier =\"10568\/168068\">https:\/\/doi.org\/10.7910\/dvn\/3xwmdv<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168068\" target=\"_blank\" data-identifier =\"10568\/168068\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Measures for Advancing Gender Equality (MAGNET) Initiative;Africa;Sub-saharan Africa;Gender Equality;Women;Assets;Ownership;Women's Empowerment;Land Rights;Property Rights;Agricultural Land;Livestock;Marriage;Divorce;Data Collection;Research;Survey Methods;Households;Dataset;2024;\" data-sorttitle=\"AssetRightsUponMarriageDissolution\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_163756\">Asset Rights Upon Marriage Dissolution<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">Measures for Advancing Gender Equality (MAGNET) Initiative<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163756\">Details<\/button><dialog id=\"dialog10568_163756\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163756\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Asset Rights Upon Marriage Dissolution<\/h4>\n<p class=\"ifResourcesAbstractA\">The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women\u2019s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women\u2019s agency is, how it manifests and how it can best be measured across contexts given the research question at hand.<\/p>\n<p>Enhancing women\u2019s land rights is an increasingly important goal for governments and policymakers around the world. Frequently, the duration of a woman\u2019s property rights is limited to the time while she is married. To understand a woman\u2019s tenure security, it is necessary to know whether her tenure extends beyond the length of her marriage. The survey questions in this tool, Asset Rights upon Marriage Dissolution, inquire about expectations regarding asset ownership and rights if a couple were to separate, and how the answers may vary by type of asset and mode of acquisition (e.g., purchase together, gifted, or inherited). The questions may be asked about different types of assets such as agricultural land, livestock, etc. To fully understand women\u2019s tenure security in the event of separation, it is useful to have this tool alongside modules that solicit information on individual\u2019s ownership of the asset.<\/p>\n<p>This data study includes following files.<br \/>\n1. A survey document (including implementation guidelines)<br \/>\n2.Two files, CAPI_Choices and CAPI_Survey, along with the accompanying help files, can be used to construct a CAPI program ready for survey implementation. Alternatively, users can use an Excel workbook \"CAPI_.xlsx\" that includes worksheets for survey and choices, along with help files, for constructing a CAPI program ready for survey implementation.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Measures for Advancing Gender Equality (MAGNET) Initiative<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/163756\">Measures for Advancing Gender Equality (MAGNET) Initiative. 2024. Asset Rights Upon Marriage Dissolution. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/HJFRRC. Harvard Dataverse. Version 2.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/163756\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Gender Equality; Women; Assets; Ownership; Women's Empowerment; Land Rights; Property Rights; Agricultural Land; Livestock; Marriage; Divorce; Data Collection; Research; Survey Methods; Households<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/hjfrrc\" target=\"_blank\" data-identifier =\"10568\/163756\">https:\/\/doi.org\/10.7910\/dvn\/hjfrrc<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/163756\" target=\"_blank\" data-identifier =\"10568\/163756\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Measures for Advancing Gender Equality (MAGNET) Initiative;Africa;Sub-saharan Africa;Gender Equality;Women;Assets;Ownership;Women's Empowerment;Data Collection;Research;Survey Methods;Households;Dataset;2024;\" data-sorttitle=\"AssetControlandBenefitsScale\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_163754\">Asset Control and Benefits Scale<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">Measures for Advancing Gender Equality (MAGNET) Initiative<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163754\">Details<\/button><dialog id=\"dialog10568_163754\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163754\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Asset Control and Benefits Scale<\/h4>\n<p class=\"ifResourcesAbstractA\">The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women\u2019s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women\u2019s agency is, how it manifests and how it can best be measured across contexts given the research question at hand.<\/p>\n<p>There are myriad definitions of ownership, control, benefit, and use of assets (e.g., right to access the resource, exploit for economic benefit, right to transfer, right to bequeath, etc.,). A common challenge in survey implementation is the significant cost, both in terms of duration and budget, that collecting a full roster of assets and asset rights might involve. The Asset Control and Benefits Scale aims to simplify the process by measuring with Likert-agreement items the construct of control and benefits over assets including land, livestock, phone, mode of transportation, and large household appliances. This scale is suited for surveys run by NSOs, other nationally representative individual- or household-level surveys, and for targeted thematic or impact evaluation surveys designed to understand individuals' agency and decision-making.<\/p>\n<p>This data study includes following files.<br \/>\n1. A survey document (including implementation guidelines).<br \/>\n2. Two files, CAPI_Choices and CAPI_Survey, along with the accompanying help files, can be used to construct a CAPI program ready for survey implementation. Alternatively, users can use an Excel workbook \"CAPI_.xlsx\" that includes worksheets for survey and choices, along with others, for constructing a CAPI program ready for survey implementation.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Measures for Advancing Gender Equality (MAGNET) Initiative<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/163754\">Measures for Advancing Gender Equality (MAGNET) Initiative. 2024. Asset Control and Benefits Scale. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/IXQ7KW. Harvard Dataverse. Version 2.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/163754\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Gender Equality; Women; Assets; Ownership; Women's Empowerment; Data Collection; Research; Survey Methods; Households<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/mfe7gr\" target=\"_blank\" data-identifier =\"10568\/163754\">https:\/\/doi.org\/10.7910\/dvn\/mfe7gr<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/163754\" target=\"_blank\" data-identifier =\"10568\/163754\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Measures for Advancing Gender Equality (MAGNET) Initiative;Africa;Sub-saharan Africa;Gender Equality;Women;Assets;Ownership;Women's Empowerment;Property Rights;Data Collection;Research;Survey Methods;Dataset;2024;H7rxN6vU;\" data-sorttitle=\"UnderstandingtheMeaningsofOwnership\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168694\">Understanding the Meanings of Ownership<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">Measures for Advancing Gender Equality (MAGNET) Initiative<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168694\">Details<\/button><dialog id=\"dialog10568_168694\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168694\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Understanding the Meanings of Ownership<\/h4>\n<p class=\"ifResourcesAbstractA\">The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women\u2019s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women\u2019s agency is, how it manifests and how it can best be measured across contexts given the research question at hand. Expanding women\u2019s asset ownership is key for improving gender equality and promoting economic development and well-being. A widespread challenge in data collection is that ownership can have different meanings across contexts, particularly regarding which components of the bundle of rights comprise ownership. Yet, surveys often implicitly assume that all rights are held by the same person. This tool, Understanding the Meanings of Ownership, allows us to elicit responses regarding subjective assessments of what ownership entails by presenting different scenarios in which the main premise is a woman owning a particular asset, but scenarios differ on the rights that women have over the asset. The multiple questions aim to assess how the answers may vary by type of asset and women\u2019s status in the household (living with a partner, living with in-laws, living with her parents). To fully understand individuals\u2019 understanding of ownership, it is useful to have this tool alongside modules that solicit information on individual\u2019s ownership of the asset.<br \/>\nThis data study includes following files.<br \/>\n1. A survey document (including implementation guidelines)<br \/>\n2.Two files, CAPI_Choices and CAPI_Survey, along with the accompanying help files, can be used to construct a CAPI program ready for survey implementation. Alternatively, users can use an Excel workbook \"CAPI_.xlsx\" that includes worksheets for survey and choices, along with others, for constructing a CAPI program ready for survey implementation.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Measures for Advancing Gender Equality (MAGNET) Initiative<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168694\">Measures for Advancing Gender Equality (MAGNET) Initiative. 2024. Understanding the Meanings of Ownership. Washington, DC: IFPRI [Survey Instrument]. https:\/\/doi.org\/10.7910\/DVN\/VM4PJY, Harvard Dataverse. Version 2.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168694\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Gender Equality; Women; Assets; Ownership; Women's Empowerment; Property Rights; Data Collection; Research; Survey Methods<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/vm4pjy\" target=\"_blank\" data-identifier =\"10568\/168694\">https:\/\/doi.org\/10.7910\/dvn\/vm4pjy<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168694\" target=\"_blank\" data-identifier =\"10568\/168694\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Gender Equality<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Measures for Advancing Gender Equality (MAGNET) Initiative;Africa;Sub-saharan Africa;Gender Equality;Women;Women's Empowerment;Property Rights;Data Collection;Research;Survey Methods;Households;Dataset;2024;\" data-sorttitle=\"ResistanceandBacklash\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168194\">Resistance and Backlash<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">Measures for Advancing Gender Equality (MAGNET) Initiative<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168194\">Details<\/button><dialog id=\"dialog10568_168194\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168194\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Resistance and Backlash<\/h4>\n<p class=\"ifResourcesAbstractA\">The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women\u2019s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women\u2019s agency is, how it manifests and how it can best be measured across contexts given the research question at hand.<\/p>\n<p>Improving women\u2019s decision-making power is crucial for advancing gender equality. Understanding individuals\u2019 participation in decision-making within their households involves understanding what occurs, or they fear it might occur, when they try to participate in these decisions. For example, they might face some type of economic or physical punishment. These potential negative consequences may be particularly acute for women. This tool, Resistance and Backlash, aims to capture whether respondents face consequences, positive or negative, because of their participation in decisions inside the household, as well as what they think would happen if they participated in those decisions that they are not currently participating in. Understanding such consequences can be used to inform interventions that aim to increase women\u2019s decision-making power within the household, as well as theories of changes within broader initiatives to increase women\u2019s agency. This tool is suited for nationally representative individual- or household-level surveys, and for targeted thematic or impact evaluation surveys designed to understand women\u2019s agency and decision-making. Other variables that you may want to collect alongside this measure include marital status, age, women\u2019s engagement in any income-generating activities, and additional measures on agency or influence in decision-making (e.g., MAGNET\u2019s persuasion or preferences over decision-making tools).<\/p>\n<p>This data study includes following files.<br \/>\n1. A survey document (including implementation guidelines)<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Measures for Advancing Gender Equality (MAGNET) Initiative<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168194\">Measures for Advancing Gender Equality (MAGNET) Initiative. 2024. Resistance and Backlash. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/ECYU6B. Harvard Dataverse. Version 2.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168194\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Gender Equality; Women; Women's Empowerment; Property Rights; Data Collection; Research; Survey Methods; Households<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/ecyu6b\" target=\"_blank\" data-identifier =\"10568\/168194\">https:\/\/doi.org\/10.7910\/dvn\/ecyu6b<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168194\" target=\"_blank\" data-identifier =\"10568\/168194\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Measures for Advancing Gender Equality (MAGNET) Initiative;Africa;Sub-saharan Africa;Gender Equality;Women;Assets;Ownership;Women's Empowerment;Data Collection;Research;Survey Methods;Households;Dataset;2024;\" data-sorttitle=\"PreferencesOverJointvs.IndividualAssetRights\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168182\">Preferences Over Joint vs. Individual Asset Rights<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">Measures for Advancing Gender Equality (MAGNET) Initiative<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168182\">Details<\/button><dialog id=\"dialog10568_168182\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168182\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Preferences Over Joint vs. Individual Asset Rights<\/h4>\n<p class=\"ifResourcesAbstractA\">The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women\u2019s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women\u2019s agency is, how it manifests and how it can best be measured across contexts given the research question at hand. Individual-level surveys collecting data on asset ownership have increasingly emphasized eliciting answers regarding whether the ownership or management of the asset is individual or joint. There is often an implicit assumption that individual ownership is better, potentially more empowering, than joint ownership. But the data don\u2019t provide insights on to whether the respondent would prefer to own and\/or manage assets jointly or individually. This tool, Preferences over Joint vs. Individual Asset Rights, allows us to elicit responses regarding subjective assessments of the well-being of a hypothetical married individual based on whether they own and\/or manage assets individually or jointly. The module may be asked about different types of assets such as agricultural land, livestock, or a dwelling. To fully understand ownership and management preferences, it is useful to have this tool as part of a survey with individual ownership module.<br \/>\nThis data study includes following files.<br \/>\n1. A survey document (including implementation guidelines).<br \/>\n2.Two files, CAPI_Choices and CAPI_Survey, along with the accompanying help files, can be used to construct a CAPI program ready for survey implementation. Alternatively, users can use an Excel workbook \"CAPI_.xlsx\" that includes worksheets for survey and choices, along with help files, for constructing a CAPI program ready for survey implementation.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Measures for Advancing Gender Equality (MAGNET) Initiative<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168182\">Measures for Advancing Gender Equality (MAGNET) Initiative. 2024. Preferences Over Joint vs. Individual Asset Rights. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/LGN0M8. Harvard Dataverse. Version 3.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168182\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Gender Equality; Women; Assets; Ownership; Women's Empowerment; Data Collection; Research; Survey Methods; Households<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/lgn0m8\" target=\"_blank\" data-identifier =\"10568\/168182\">https:\/\/doi.org\/10.7910\/dvn\/lgn0m8<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168182\" target=\"_blank\" data-identifier =\"10568\/168182\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Western Africa;Africa;Middle Africa;Conflicts;Migration;Fragility;Mauritania;Mali;Burkina Faso;Niger;Chad;Dataset;2024;y4tdQRvj;\" data-sorttitle=\"ACLEDConflictIndexG5Sahel(2018-2023)\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_139799\">ACLED Conflict Index G5 Sahel (2018-2023)<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_139799\">Details<\/button><dialog id=\"dialog10568_139799\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_139799\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">ACLED Conflict Index G5 Sahel (2018-2023)<\/h4>\n<p class=\"ifResourcesAbstractA\">This dataset contains the ACLED conflict index, its classification, and related underlying dimensions and rankings of deadliness, danger, diffusion, and fragmentation for the 279 second-level administrative areas of Mauritania, Mali, Burkina Faso, Niger, and Chad between 2018 and 2023. Following a slightly modified version of ACLED's conflict index methodology, the dataset is generated based on ACLED\u2019s curated dataset for Africa (5 January 2024) and United Nations Office for the Coordination of Humanitarian Affairs's (OCHA) geographic dataset for the Sahel (including P-codes).<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/139799\">International Food Policy Research Institute (IFPRI). 2024. ACLED Conflict Index G5 Sahel (2018-2023). Washington, DC: IFPRI [dataset]. Harvard Dataverse. Version 1. https:\/\/hdl.handle.net\/10568\/139799<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/139799\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Mauritania; Mali; Burkina Faso; Niger; Chad<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Western Africa; Africa; Middle Africa; Conflicts; Migration; Fragility<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/t6ut9o\" target=\"_blank\" data-identifier =\"10568\/139799\">https:\/\/doi.org\/10.7910\/dvn\/t6ut9o<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/139799\" target=\"_blank\" data-identifier =\"10568\/139799\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Fragility, Conflict, and Migration<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Africa;Sub-saharan Africa;Eastern Africa;Irrigation;Households;Agricultural Production;Nutrition;Dietary Diversity;Anthropometry;Health;Gender;Women's Empowerment;Decision Making;Ethiopia;Dataset;2024;O-xdZg9-;\" data-sorttitle=\"EthiopiaFeedtheFutureInnovationLabforSmall-ScaleIrrigation(ILSSI)EndlineSurvey,2017\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_163571\">Ethiopia Feed the Future Innovation Lab for Small-Scale Irrigation (ILSSI) Endline Survey, 2017<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163571\">Details<\/button><dialog id=\"dialog10568_163571\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163571\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Ethiopia Feed the Future Innovation Lab for Small-Scale Irrigation (ILSSI) Endline Survey, 2017<\/h4>\n<p class=\"ifResourcesAbstractA\">The Feed the Future Innovation Lab on Small-Scale Irrigation (FTF-ILSSI) is a cooperative agreement funded by USAID under the Feed the Future program to undertake research aimed to increase food production, improve nutrition, accelerate economic development and contribute to the protection of the environment. The project seeks these objectives through identifying, testing and demonstrating technological options in small-scale irrigation and irrigated fodder, supported by a continual dialogue approach with stakeholders and capacity development toward sustained use of research approaches and evidence. Collaborators on this project include Texas A&M University, the International Water Management Institute (IWMI), the International Food Policy Research Institute (IFPRI), the International Livestock Research Institute (ILRI), North Carolina A&T State University (NCAT) and Texas A&M AgriLife Research (TAMUS). As part of this project, IFPRI is undertaking a study of irrigating and non-irrigating households in Ethiopia, Tanzania and Ghana to investigate the connections between irrigation, gender, nutrition and health. The survey explores these linkages through an in-depth household questionnaire with questions on agricultural production, nutrition and health, a WEAI module and a community questionnaire.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/163571\">International Food Policy Research Institute (IFPRI). 2024. Ethiopia Feed the Future Innovation Lab for Small-Scale Irrigation (ILSSI) Endline Survey, 2017. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/SSFGDG. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/163571\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Ethiopia<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Eastern Africa; Irrigation; Households; Agricultural Production; Nutrition; Dietary Diversity; Anthropometry; Health; Gender; Women's Empowerment; Decision Making<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/ssfgdg\" target=\"_blank\" data-identifier =\"10568\/163571\">https:\/\/doi.org\/10.7910\/dvn\/ssfgdg<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/163571\" target=\"_blank\" data-identifier =\"10568\/163571\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Water, Land and Ecosystems<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Tanzania;Africa;Sub-saharan Africa;Eastern Africa;Irrigation;Households;Agricultural Production;Nutrition;Dietary Diversity;Anthropometry;Health;Gender;Women's Empowerment;Decision Making;Dataset;2024;O-xdZg9-;\" data-sorttitle=\"TanzaniaFeedtheFutureInnovationLabforSmall-ScaleIrrigation(ILSSI)EndlineSurvey,2017\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_163473\">Tanzania Feed the Future Innovation Lab for Small-Scale Irrigation (ILSSI) Endline Survey, 2017<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163473\">Details<\/button><dialog id=\"dialog10568_163473\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163473\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Tanzania Feed the Future Innovation Lab for Small-Scale Irrigation (ILSSI) Endline Survey, 2017<\/h4>\n<p class=\"ifResourcesAbstractA\">The Feed the Future Innovation Lab on Small-Scale Irrigation (FTF-ILSSI) is a cooperative agreement funded by USAID under the Feed the Future program to undertake research aimed to increase food production, improve nutrition, accelerate economic development and contribute to the protection of the environment. The project seeks these objectives through identifying, testing and demonstrating technological options in small-scale irrigation and irrigated fodder, supported by a continual dialogue approach with stakeholders and capacity development toward sustained use of research approaches and evidence. Collaborators on this project include Texas A&M University, the International Water Management Institute (IWMI), the International Food Policy Research Institute (IFPRI), the International Livestock Research Institute (ILRI), North Carolina A&T State University (NCAT) and Texas A&M AgriLife Research (TAMUS). As part of this project, IFPRI is undertaking a study of irrigating and non-irrigating households in Ethiopia, Tanzania and Ghana to investigate the connections between irrigation, gender, nutrition and health. The survey explores these linkages through an in-depth household questionnaire with questions on agricultural production, nutrition and health, a WEAI module and a community questionnaire.<br \/>\nThis work forms part of the CGIAR Research Program on Water, Land and Ecosystems (WLE).<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/163473\">International Food Policy Research Institute (IFPRI). 2024. Tanzania Feed the Future Innovation Lab for Small-Scale Irrigation (ILSSI) Endline Survey, 2017. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/A6GQIO. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/163473\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Tanzania; Africa; Sub-saharan Africa; Eastern Africa; Irrigation; Households; Agricultural Production; Nutrition; Dietary Diversity; Anthropometry; Health; Gender; Women's Empowerment; Decision Making<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/a6gqio\" target=\"_blank\" data-identifier =\"10568\/163473\">https:\/\/doi.org\/10.7910\/dvn\/a6gqio<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/163473\" target=\"_blank\" data-identifier =\"10568\/163473\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Water, Land and Ecosystems<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Africa;Sub-saharan Africa;Eastern Africa;Agriculture;Smallholders;Production Systems;Income;Crops;Commercialization;Agricultural Production;Rwanda;Dataset;2024;TjSP_oRI;\" data-sorttitle=\"SmallholderAgricultureCommercializationinRwanda,2022\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168206\">Smallholder Agriculture Commercialization in Rwanda, 2022<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168206\">Details<\/button><dialog id=\"dialog10568_168206\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168206\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Smallholder Agriculture Commercialization in Rwanda, 2022<\/h4>\n<p class=\"ifResourcesAbstractA\">This dataset pertains to a survey on smallholder commercialization conducted in Rwanda during October and November of 2022. The primary objective of this study is to enhance data and analysis regarding the returns associated with commercial smallholder production systems and policies aimed at supporting smallholder commercialization.<\/p>\n<p>The data were collected from a nationally and provincially representative households\u2019 sample of 2,020 rural smallholder agricultural households selected from five provinces. The survey focused on various key data points, including household demographics, farm and nonfarm assets, farm characteristics (such as land use, crop production, inputs usage, participation in agricultural programs, livestock, etc.), household expenditures and incomes, labor utilization, and other relevant factors throughout the agricultural year of 2022.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168206\">International Food Policy Research Institute (IFPRI). 2024. Smallholder Agriculture Commercialization in Rwanda, 2022. Washington, DC: IFPRI [Dataset]. https:\/\/doi.org\/10.7910\/DVN\/X82ADO. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168206\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Rwanda<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Eastern Africa; Agriculture; Smallholders; Production Systems; Income; Crops; Commercialization; Agricultural Production<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/x82ado\" target=\"_blank\" data-identifier =\"10568\/168206\">https:\/\/doi.org\/10.7910\/dvn\/x82ado<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168206\" target=\"_blank\" data-identifier =\"10568\/168206\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Seed Equal<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Africa;Southern Africa;Western Africa;Macroeconomic Analysis;National Accounting;Household Consumption;Household Expenditure;Economic Indicators;Labour;Sex-disaggregated Data;Nigeria;Dataset;2024;VyxvqIlX;\" data-sorttitle=\"2021SocialAccountingMatrixforNigeria\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_163655\">2021 Social Accounting Matrix for Nigeria<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163655\">Details<\/button><dialog id=\"dialog10568_163655\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163655\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">2021 Social Accounting Matrix for Nigeria<\/h4>\n<p class=\"ifResourcesAbstractA\">The 2021 Nigeria Social Accounting Matrix (SAM) follows IFPRI's Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI's website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/163655\">International Food Policy Research Institute (IFPRI). 2023. 2021 Social Accounting Matrix for Nigeria. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/095UBP. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/163655\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Nigeria<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Southern Africa; Western Africa; Macroeconomic Analysis; National Accounting; Household Consumption; Household Expenditure; Economic Indicators; Labour; Sex-disaggregated Data<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/095ubp\" target=\"_blank\" data-identifier =\"10568\/163655\">https:\/\/doi.org\/10.7910\/dvn\/095ubp<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/163655\" target=\"_blank\" data-identifier =\"10568\/163655\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Foresight<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Africa;Sub-saharan Africa;Western Africa;Irrigation;Water Management;Households;Agricultural Production;Nutrition;Dietary Diversity;Anthropometry;Health;Gender;Women's Empowerment;Decision Making;Ghana;Dataset;2024;O-xdZg9-;\" data-sorttitle=\"GhanaFeedtheFutureInnovationLabforSmall-ScaleIrrigation(ILSSI)EndlineSurvey,2017\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_163471\">Ghana Feed the Future Innovation Lab for Small-Scale Irrigation (ILSSI) Endline Survey, 2017<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163471\">Details<\/button><dialog id=\"dialog10568_163471\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163471\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Ghana Feed the Future Innovation Lab for Small-Scale Irrigation (ILSSI) Endline Survey, 2017<\/h4>\n<p class=\"ifResourcesAbstractA\">The Feed the Future Innovation Lab on Small-Scale Irrigation (FTF-ILSSI) is a cooperative agreement funded by USAID under the Feed the Future program to undertake research aimed to increase food production, improve nutrition, accelerate economic development and contribute to the protection of the environment. The project seeks these objectives through identifying, testing and demonstrating technological options in small-scale irrigation and irrigated fodder, supported by a continual dialogue approach with stakeholders and capacity development toward sustained use of research approaches and evidence. Collaborators on this project include Texas A&M University, the International Water Management Institute (IWMI), the International Food Policy Research Institute (IFPRI), the International Livestock Research Institute (ILRI), North Carolina A&T State University (NCAT) and Texas A&M AgriLife Research (TAMUS). As part of this project, IFPRI is undertaking a study of irrigating and non-irrigating households in Ethiopia, Tanzania and Ghana to investigate the connections between irrigation, gender, nutrition and health. The survey explores these linkages through an in-depth household questionnaire with questions on agricultural production, nutrition and health, a WEAI module and a community questionnaire. This work forms part of the CGIAR Research Program on Water, Land and Ecosystems (WLE).<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/163471\">International Food Policy Research Institute (IFPRI). 2024. Ghana Feed the Future Innovation Lab for Small-Scale Irrigation (ILSSI) Endline Survey, 2017. Washington, DC: IFPRI [Dataset]. https:\/\/doi.org\/10.7910\/DVN\/AHVXHQ. Harvard Dataverse.Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/163471\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Ghana<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Western Africa; Irrigation; Water Management; Households; Agricultural Production; Nutrition; Dietary Diversity; Anthropometry; Health; Gender; Women's Empowerment; Decision Making<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/ahvxhq\" target=\"_blank\" data-identifier =\"10568\/163471\">https:\/\/doi.org\/10.7910\/dvn\/ahvxhq<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/163471\" target=\"_blank\" data-identifier =\"10568\/163471\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Water, Land and Ecosystems<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Africa;Southern Africa;Western Africa;Irrigation;Water Management;Households;Agricultural Production;Nutrition;Dietary Diversity;Anthropometry;Health;Gender;Women's Empowerment;Decision Making;Ghana;Dataset;2024;O-xdZg9-;\" data-sorttitle=\"GhanaFeedtheFutureInnovationLabforSmall-ScaleIrrigation(ILSSI)BaselineSurvey,2015\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_163472\">Ghana Feed the Future Innovation Lab for Small-Scale Irrigation (ILSSI) Baseline Survey, 2015<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163472\">Details<\/button><dialog id=\"dialog10568_163472\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_163472\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Ghana Feed the Future Innovation Lab for Small-Scale Irrigation (ILSSI) Baseline Survey, 2015<\/h4>\n<p class=\"ifResourcesAbstractA\">The Feed the Future Innovation Lab on Small-Scale Irrigation (FTF-ILSSI) is a cooperative agreement funded by USAID under the Feed the Future program to undertake research aimed at increasing food production, improving nutrition, accelerating economic development, and contributing to the protection of the environment. The project pursues these objectives by identifying, testing, and demonstrating technological options in small-scale irrigation and irrigated fodder, supported by a continual dialogue approach with stakeholders and capacity development toward sustained use of research approaches and evidence. Collaborators on this project include Texas A&M University, the International Water Management Institute (IWMI), the International Food Policy Research Institute (IFPRI), the International Livestock Research Institute (ILRI), North Carolina A&T State University (NCAT), and Texas A&M AgriLife Research (TAMUS). As part of this project, IFPRI is undertaking a study of irrigating and non-irrigating households in Ethiopia, Tanzania, and Ghana to investigate the connections between irrigation, gender, nutrition, and health. The survey explores these linkages through an in-depth household questionnaire with questions on agricultural production, nutrition and health, a WEAI module, and a community questionnaire. This work is part of the CGIAR Research Program on Water, Land, and Ecosystems (WLE).<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/163472\">International Food Policy Research Institute (IFPRI). 2023. Ghana Feed the Future Innovation Lab for Small-Scale Irrigation (ILSSI) Baseline Survey, 2015. Washington, DC: IFPRI [Dataset]. https:\/\/doi.org\/10.7910\/DVN\/7E7LG7. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/163472\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Ghana<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Southern Africa; Western Africa; Irrigation; Water Management; Households; Agricultural Production; Nutrition; Dietary Diversity; Anthropometry; Health; Gender; Women's Empowerment; Decision Making<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/7e7lg7\" target=\"_blank\" data-identifier =\"10568\/163472\">https:\/\/doi.org\/10.7910\/dvn\/7e7lg7<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/163472\" target=\"_blank\" data-identifier =\"10568\/163472\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Water, Land and Ecosystems<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Gurmu, M.;Feleke, S.;Abdoulaye, T.;Andam, Kwaw S.;Adeyemo, T.;Africa;Western Africa;Biofortification;Cassava;Impact Assessment;Nigeria;Dataset;2024;oTPxbCdM;\" data-sorttitle=\"DatasetontheimpactofbiofortifiedcassavainNigeria:assessmentoflivelihoodoutcomesinNiger\" data-sortdate=\"2024\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_138401\">Dataset on the impact of biofortified cassava in Nigeria: assessment of livelihood outcomes in Nigeria<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2024<\/span><span class=\"dspaceSub ifresAuthors\">Gurmu, M.; Feleke, S.; Abdoulaye, T.; Andam, Kwaw S.; Adeyemo, T.<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_138401\">Details<\/button><dialog id=\"dialog10568_138401\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_138401\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Dataset on the impact of biofortified cassava in Nigeria: assessment of livelihood outcomes in Nigeria<\/h4>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2024<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Gurmu, M.; Feleke, S.; Abdoulaye, T.; Andam, Kwaw S.; Adeyemo, T.<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/138401\">Gurmu, M., Feleke, S., Abdoulaye, T., Andam, K. & Adeyemo, T. (2024). Dataset on the impact of biofortified cassava in Nigeria: assessment of livelihood outcomes in Nigeria. Ibadan, Nigeria: IITA.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/138401\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Nigeria<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Western Africa; Biofortification; Cassava; Impact Assessment<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.25502\/af81-7m08\/d\" target=\"_blank\" data-identifier =\"10568\/138401\">https:\/\/doi.org\/10.25502\/af81-7m08\/d<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/138401\" target=\"_blank\" data-identifier =\"10568\/138401\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>National Policies and Strategies<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Eastern Africa;Baseline Data;Social Protection;Mental Health;Domestic Violence;Food Security;Household Consumption;Ethiopia;Dataset;2023;y4tdQRvj;\" data-sorttitle=\"StrengthenPSNPInstitutionsandResiliencePhaseII(SPIRII),Ethiopia:GroupProblemManagementP\" data-sortdate=\"2023\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_137907\">Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot Screening Survey<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2023<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_137907\">Details<\/button><dialog id=\"dialog10568_137907\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_137907\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot Screening Survey<\/h4>\n<p class=\"ifResourcesAbstractA\">The study's objective is to estimate the impact of group Problem Management Plus (GPM+), with and without a lump-sum cash transfer, on mental health, daily activities, and economic outcomes among Productive Safety Net Program (PSNP) clients in the regions of Amhara and Oromia. The population for this study consists of individuals residing in Amhara and Oromia who are registered and assisted by the PSNP public works program. Moreover, to be eligible, individuals must show signs and symptoms of depression or dysfunction, be between 18 and 59 years old, and be the main decision-maker or spouse of the main decision-maker. The impact of GPM+ will be assessed through a two-stage cluster randomized control trial (cRCT) design.<\/p>\n<p>The data included here comprise the results of a mental health screening, from which we identified respondents who were eligible for our study, and a baseline survey that includes measured characteristics of eligible respondents. These characteristics include household-level indicators such as food security and household consumption, and respondent-level indicators such as mental health outcomes. Per household, up to two people aged 18-59 years are screened (the primary decision-maker and spouse). The screening survey assesses depression and functionality using the Patient Health Questionnaire (PHQ-9) and the WHO Disability Assessment Schedule 2\u00b70 (WHODAS). Data are organized by modules. In the screening data, Module A is at the household level, and Module B is at the respondent level.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2023<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/137907\">International Food Policy Research Institute (IFPRI). 2023. Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot Screening Survey. Washington, DC: IFPRI [Dataset]. https:\/\/doi.org\/10.7910\/DVN\/MMA9XB. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/137907\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Ethiopia<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Eastern Africa; Baseline Data; Social Protection; Mental Health; Domestic Violence; Food Security; Household Consumption<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/mma9xb\" target=\"_blank\" data-identifier =\"10568\/137907\">https:\/\/doi.org\/10.7910\/dvn\/mma9xb<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/137907\" target=\"_blank\" data-identifier =\"10568\/137907\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Fragility, Conflict, and Migration<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Africa;Sub-saharan Africa;Eastern Africa;Baseline Data;Social Protection;Mental Health;Domestic Violence;Food Security;Household Consumption;Ethiopia;Dataset;2023;\" data-sorttitle=\"StrengthenPSNPInstitutionsandResiliencePhaseII(SPIRII),Ethiopia:GroupProblemManagementP\" data-sortdate=\"2023\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168510\">Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot Baseline Survey<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2023<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168510\">Details<\/button><dialog id=\"dialog10568_168510\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168510\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot Baseline Survey<\/h4>\n<p class=\"ifResourcesAbstractA\">IFPRI, in collaboration with World Vision (WV) and implementation partners, evaluated the impact of a psychotherapy intervention, group Problem Management Plus (gPM+), with and without a one-time lump sum cash transfer. The study is an interventional study using a cluster randomized control trial (cRCT) design that occurred in 70 kebeles across the regions of Oromia and Amhara. The evaluation includes a screening survey to assess eligible men and women; a baseline survey conducted before implementing the gPM+ or cash transfer intervention (June-July 2022); an endline survey conducted on the same individuals right after the interventions (September 2022-October 2022); and a one-year post-intervention survey conducted approximately one year after the endline (September-October 2023). This dataset pertains to the baseline survey and contains baseline demographic information on the sample in the gPM+ study. The first part comprises household-level modules such as household roster, housing, assets, consumption, food security, investments, and occurrence of shocking events. The second part is composed of individual-level modules administered to the individuals screened for the study. These modules include instruments for measuring stress, anxiety, coping, self-efficacy, time and risk preference, savings, intimate partner violence, time use, and childcare.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2023<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168510\">International Food Policy Research Institute (IFPRI). 2023. Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot Baseline Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/8JFUAA. Harvard Dataverse. Version 2.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168510\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Ethiopia<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Eastern Africa; Baseline Data; Social Protection; Mental Health; Domestic Violence; Food Security; Household Consumption<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/8jfuaa\" target=\"_blank\" data-identifier =\"10568\/168510\">https:\/\/doi.org\/10.7910\/dvn\/8jfuaa<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168510\" target=\"_blank\" data-identifier =\"10568\/168510\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Africa;Sub-saharan Africa;Eastern Africa;Baseline Data;Social Protection;Mental Health;Domestic Violence;Food Security;Household Consumption;Impact Assessment;Ethiopia;Dataset;2023;\" data-sorttitle=\"StrengthenPSNPInstitutionsandResiliencePhaseII(SPIRII),Ethiopia:GroupProblemManagementP\" data-sortdate=\"2023\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168507\">Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot Screening Survey<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2023<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168507\">Details<\/button><dialog id=\"dialog10568_168507\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168507\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot Screening Survey<\/h4>\n<p class=\"ifResourcesAbstractA\">The study's objective is to estimate the impact of group Problem Management Plus (GPM+), with and without a lump-sum cash transfer, on mental health, daily activities, and economic outcomes among Productive Safety Net Program (PSNP) clients in the regions of Amhara and Oromia. The population for this study consists of individuals residing in Amhara and Oromia who are registered and assisted by the PSNP public works program. Moreover, to be eligible, individuals must show signs and symptoms of depression or dysfunction, be between 18 and 59 years old, and be the main decision-maker or spouse of the main decision-maker. The impact of GPM+ will be assessed through a two-stage cluster randomized control trial (cRCT) design. The data included here comprise the results of a mental health screening, from which we identified respondents who were eligible for our study, and a baseline survey that includes measured characteristics of eligible respondents. These characteristics include household-level indicators such as food security and household consumption, and respondent-level indicators such as mental health outcomes. Per household, up to two people aged 18-59 years are screened (the primary decision-maker and spouse). The screening survey assesses depression and functionality using the Patient Health Questionnaire (PHQ-9) and the WHO Disability Assessment Schedule 2\u00b70 (WHODAS). Data are organized by modules. In the screening data, Module A is at the household level, and Module B is at the respondent level.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2023<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168507\">International Food Policy Research Institute (IFPRI). 2023. Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot Screening Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/MMA9XB. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168507\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Ethiopia<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Eastern Africa; Baseline Data; Social Protection; Mental Health; Domestic Violence; Food Security; Household Consumption; Impact Assessment<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/mma9xb\" target=\"_blank\" data-identifier =\"10568\/168507\">https:\/\/doi.org\/10.7910\/dvn\/mma9xb<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168507\" target=\"_blank\" data-identifier =\"10568\/168507\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Western Africa;Sub-saharan Africa;Africa;Nutrition;Nutrition Education;Communication;Health Services;Health;Child Feeding;Infant Feeding;Breastfeeding;Burkina Faso;Dataset;2023;\" data-sorttitle=\"A&TBurkinaFasoMaternalNutritionEndlineSurvey2021:Agentdesant\u00e9Communautaire(ASBC)\" data-sortdate=\"2023\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_145108\">A&T Burkina Faso Maternal Nutrition Endline Survey 2021: Agent de sant\u00e9 Communautaire (ASBC)<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2023<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145108\">Details<\/button><dialog id=\"dialog10568_145108\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145108\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">A&T Burkina Faso Maternal Nutrition Endline Survey 2021: Agent de sant\u00e9 Communautaire (ASBC)<\/h4>\n<p class=\"ifResourcesAbstractA\">Alive & Thrive (A&T) is an initiative that supports the scaling up of nutrition interventions to save lives, prevent illnesses, and contribute to healthy growth and development through improved maternal nutrition and infant and young child feeding practices. In Burkina Faso, A&T developed and tested an intensive package of maternal nutrition interventions to be integrated into existing ANC services delivered through government health facilities. These included intensified counseling and support on dietary diversity and quality during pregnancy, iron-folic acid (IFA) supplements consumption, importance of ANC and increasing the number of visits, adequate weight-gain monitoring, and early initiation of and exclusive breastfeeding. This dataset is part of a survey that was conducted to gather endline data for the impact evaluation of the interventions.<br \/>\nThe overall study objective was to evaluate the feasibility of integrating locally relevant maternal nutrition interventions into ANC services provided by the government health system and their impact on diet quality and quantity and utilization of nutrition interventions during pregnancy. Research questions include:<br \/>\n1) What are the program impacts on maternal nutrition practices: (1) consumption of diversified foods and adequate intake of micronutrient, protein and energy compared to recommended intakes; (2) consumption of IFA supplements during pregnancy; and (3) early breastfeeding practices?<br \/>\n2) Can the coverage and utilization of key nutrition interventions (maternal nutrition counseling, weight gain monitoring, distribution of and counseling on IFA supplementation, and breastfeeding counseling) and number of ANC contacts be improved through health system strengthening and nutrition-focused social and behavior change communication (SBCC; interpersonal communication and community mobilization) approaches?<br \/>\n3) What factors influenced integration and strengthening of maternal nutrition interventions into the government ANC service delivery platform?<\/p>\n<p>The evaluation used a two-arm cluster-randomized, non-masked trial design, consisting of two cross-sectional surveys at baseline and endline. The unit of randomization was the health and social promotion center (CSPS, Centre de Sant\u00e9 et de Promotion Social in French) catchment area. The endline survey was conducted in January-March 2021 by Agence de Formation de Recherche et d'Expertise en Sant\u00e9 pour l'Afrique (AFRICSant\u00e9), the in-country research collaborator for the survey. The endline survey included the following: 1) Pregnant women questionnaire, 2) Recently delivered women questionnaire, 3) Husbands of recently delivered women questionnaire, 4) Nurse-midwife questionnaire, 5) Community health agents (agent de sant\u00e9 communautaire, ASBCs) questionnaire, 6) Health facility observation checklist, and 7) ANC observation and exit interview.<\/p>\n<p>The ASBC interviews were conducted using pretested, structured questionnaires. Information was collected on ASBC\u2019s responsibilities, capacity, knowledge, motivation, and ANC service provision in the community.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2023<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/145108\">International Food Policy Research Institute (IFPRI). 2023. A&T Burkina Faso Maternal Nutrition Endline Survey 2021: Agent de sant\u00e9 Communautaire (ASBC). Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/YNWMFH. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/145108\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Burkina Faso<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Western Africa; Sub-saharan Africa; Africa; Nutrition; Nutrition Education; Communication; Health Services; Health; Child Feeding; Infant Feeding; Breastfeeding<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/ynwmfh\" target=\"_blank\" data-identifier =\"10568\/145108\">https:\/\/doi.org\/10.7910\/dvn\/ynwmfh<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/145108\" target=\"_blank\" data-identifier =\"10568\/145108\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;West and Central Africa;Sub-saharan Africa;Africa;Covid-19;Rural Areas;Men;Women;Health;Shock;Rwanda;Dataset;2023;\" data-sorttitle=\"COVID-19ImpactonRuralMenandWomeninRwanda,Round1\" data-sortdate=\"2023\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_145118\">COVID-19 Impact on Rural Men and Women in Rwanda, Round 1<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2023<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145118\">Details<\/button><dialog id=\"dialog10568_145118\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145118\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">COVID-19 Impact on Rural Men and Women in Rwanda, Round 1<\/h4>\n<p class=\"ifResourcesAbstractA\">This dataset is the result of a phone survey set up to measure the impact of COVID-19 on rural people in Rwanda. The impact of COVID-19 can affect women and men in different ways: as an income shock (directly or indirectly); as a health and caring shock; as a shock of mobility (affecting access to water, food, firewood, schooling); and as a risk of increased domestic conflict and violence. To capture these various effects on household welfare, this phone survey was conducted with (around) 500 individuals randomly drawn from an existing list of phone numbers collected from previous household surveys with 178 women and 322 men. At the time of data collection, COVID-19 cases had considerably risen in Rwanda. The focus was on the socioeconomic impacts of COVID-19 on work and income; food and nutrition security; mobility and migration; household conflicts during the pandemic and access to services. The same individuals were also interviewed during other rounds to generate a longitudinal panel allowing for analysis of the impact of COVID-19 through time.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2023<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/145118\">International Food Policy Research Institute (IFPRI). 2022. COVID-19 Impact on Rural Men and Women in Rwanda, Round 1. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/FSSHMK. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/145118\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Rwanda<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>West and Central Africa; Sub-saharan Africa; Africa; Covid-19; Rural Areas; Men; Women; Health; Shock<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/fsshmk\" target=\"_blank\" data-identifier =\"10568\/145118\">https:\/\/doi.org\/10.7910\/dvn\/fsshmk<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/145118\" target=\"_blank\" data-identifier =\"10568\/145118\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;West and Central Africa;Sub-saharan Africa;Africa;Covid-19;Rural Areas;Men;Women;Health;Shock;Rwanda;Dataset;2023;oEYw74vD;\" data-sorttitle=\"COVID-19ImpactonRuralMenandWomeninRwanda,Round2\" data-sortdate=\"2023\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_145114\">COVID-19 Impact on Rural Men and Women in Rwanda, Round 2<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2023<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145114\">Details<\/button><dialog id=\"dialog10568_145114\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145114\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">COVID-19 Impact on Rural Men and Women in Rwanda, Round 2<\/h4>\n<p class=\"ifResourcesAbstractA\">This dataset is the result of a phone survey set up to measure the impact of COVID-19 on rural people in Rwanda. The impact of COVID-19 can affect women and men in different ways: as an income shock (directly or indirectly); as a health and caring shock; as a shock of mobility (affecting access to water, food, firewood, schooling); and as a risk of increased domestic conflict and violence. To capture these various effects on household welfare, this phone survey was conducted with (around) 500 individuals randomly drawn from an existing list of phone numbers collected from previous household surveys with 223women and 278 men. At the time of data collection, COVID-19 caseloads were considerably slowing in Rwanda. The focus was on the socioeconomic impacts of COVID-19 on work and income; food and nutrition security; mobility and migration; household conflicts during the pandemic and access to services. The same individuals were also interviewed during other rounds to generate a longitudinal panel allowing for analysis of the impact of COVID-19 through time.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2023<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/145114\">International Food Policy Research Institute (IFPRI). 2022. COVID-19 Impact on Rural Men and Women in Rwanda, Round 2. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/J6EAD6. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/145114\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Rwanda<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>West and Central Africa; Sub-saharan Africa; Africa; Covid-19; Rural Areas; Men; Women; Health; Shock<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/j6ead6\" target=\"_blank\" data-identifier =\"10568\/145114\">https:\/\/doi.org\/10.7910\/dvn\/j6ead6<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/145114\" target=\"_blank\" data-identifier =\"10568\/145114\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Gender<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Eastern Africa;Sub-saharan Africa;Africa;Baseline Data;Social Protection;Nutrition;Gender;Climate Change;Resilience;Women's Empowerment;Mental Health;Domestic Violence;Ethiopia;Dataset;2023;Kef8KeqX;\" data-sorttitle=\"StrengthenPSNP4InstitutionsandResilience(SPIR),Ethiopia:BaselineSurvey\" data-sortdate=\"2023\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_145109\">Strengthen PSNP4 Institutions and Resilience (SPIR), Ethiopia: Baseline Survey<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2023<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145109\">Details<\/button><dialog id=\"dialog10568_145109\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145109\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Strengthen PSNP4 Institutions and Resilience (SPIR), Ethiopia: Baseline Survey<\/h4>\n<p class=\"ifResourcesAbstractA\">The Strengthen PSNP4 Institutions and Resilience (SPIR) Development Food Security Activity (DFSA) in Ethiopia was a five-year project (2016-2021) supporting the implementation of the fourth phase of the Productive Safety Net Programme (PSNP4) as well as providing complementary livelihood, nutrition, gender, and climate resilience activities to strengthen the program and expand its impacts. IFPRI conducted an experimental, quantitative impact evaluation of SPIR designed to measure the causal impact of multisectoral \u201cgraduation model\u201d packages of interventions for improving outcomes in several domains, including livelihoods, food security, child nutrition, women\u2019s empowerment, mental health, and intimate partner violence (IPV). The impact evaluation used a clustered RCT design to learn about the effect of different combinations of the SPIR interventions on the well-being of PSNP4 households. These packages were combined into multisectoral graduation model programs and randomized at the kebele level into four treatment arms. The evaluation sample comprised of 192 kebeles and 15 woredas in the Amhara and Oromia regions. The baseline survey was conducted from March to May 2018, and 3,314 households were interviewed. The survey instrument had three parts \u2013 household survey, female survey, and male survey, and was broadly similar across rounds, while some modules changed.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2023<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/145109\">International Food Policy Research Institute (IFPRI). 2023. Strengthen PSNP4 Institutions and Resilience (SPIR), Ethiopia: Baseline Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/NYTIMZ. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/145109\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Ethiopia<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Eastern Africa; Sub-saharan Africa; Africa; Baseline Data; Social Protection; Nutrition; Gender; Climate Change; Resilience; Women's Empowerment; Mental Health; Domestic Violence<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/nytimz\" target=\"_blank\" data-identifier =\"10568\/145109\">https:\/\/doi.org\/10.7910\/dvn\/nytimz<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/145109\" target=\"_blank\" data-identifier =\"10568\/145109\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Policies, Institutions, and Markets<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;University for Development Studies;Africa;Sub-saharan Africa;Western Africa;Household Consumption;Innovation;Resilience;Smallholders;Cost Benefit Analysis;Climate Services;Women's Empowerment;Climate Resilience;Ghana;Dataset;2023;\" data-sorttitle=\"ReplicationDatafor\"EstimatingtheIntrahouseholdCostsandBenefitsofInnovationstoEnhanceSma\" data-sortdate=\"2023\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_168190\">Replication Data for \"Estimating the Intrahousehold Costs and Benefits of Innovations to Enhance Smallholder Farmers\u2019 Resilience\"<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2023<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute; University for Development Studies<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168190\">Details<\/button><dialog id=\"dialog10568_168190\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_168190\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Replication Data for \"Estimating the Intrahousehold Costs and Benefits of Innovations to Enhance Smallholder Farmers\u2019 Resilience\"<\/h4>\n<p class=\"ifResourcesAbstractA\">Replication data used to demonstrate the application of a new framework for cost-benefit analysis of climate information services (CIS) and other agricultural innovations aiming to improve smallholder farmers' resilience. The framework uses expected utility to quantify welfare benefits associated with non-monetary outcomes that are important from a development perspective, such as improved income smoothing, empowerment, and changes in time use. The data therefore collects variables such as risk preferences, income expectations, time use, and empowerment. The data were collected in November 2022 in the context of a CIS program in 6 regions in Ghana (Bono East, Central, Greater Accra, Northern, Upper East, and Upper West). Using computer-assisted personal interviews (CAPI), we surveyed male and female respondents from 661 households. We used multi-stage purposive sampling to select 11 districts, from which in total 38 villages were randomly selected. In each village, a sampling frame was developed with the help of community leaders, from which households were randomly selected for inclusion in the study.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2023<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute; University for Development Studies<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/168190\">International Food Policy Research Institute (IFPRI); University for Development Studies (UDS), Tamale, Ghana. 2024. Replication Data for \"Estimating the Intrahousehold Costs and Benefits of Innovations to Enhance Smallholder Farmers\u2019 Resilience.\" Washington, DC: IFPRI [Dataset]. https:\/\/doi.org\/10.7910\/DVN\/V4TDAF. Harvard Dataverse. Version 2.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/168190\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Ghana<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Africa; Sub-saharan Africa; Western Africa; Household Consumption; Innovation; Resilience; Smallholders; Cost Benefit Analysis; Climate Services; Women's Empowerment; Climate Resilience<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/v4tdaf\" target=\"_blank\" data-identifier =\"10568\/168190\">https:\/\/doi.org\/10.7910\/dvn\/v4tdaf<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/168190\" target=\"_blank\" data-identifier =\"10568\/168190\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Eastern Africa;Sub-saharan Africa;Africa;Survey Methods;Food Consumption;Ethiopia;Dataset;2023;FT82efly;\" data-sorttitle=\"ReplicationDatafor\"MeasuringConsumptionOverthePhone:EvidenceFromaSurveyExperimentinUrb\" data-sortdate=\"2023\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_145120\">Replication Data for \"Measuring Consumption Over the Phone: Evidence From a Survey Experiment in Urban Ethiopia\"<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2023<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145120\">Details<\/button><dialog id=\"dialog10568_145120\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145120\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Replication Data for \"Measuring Consumption Over the Phone: Evidence From a Survey Experiment in Urban Ethiopia\"<\/h4>\n<p class=\"ifResourcesAbstractA\">These files comprise dataset and do-files for reproducing results presented in the article, \"Measuring Consumption Over the Phone: Evidence From a Survey Experiment in Urban Ethiopia\" (Abate, de Brauw, Hirvonen, and Wolle, 2023). A detailed description of each variable in this dataset is included in section 4 of the article. The sampling procedure, data, and methods are described in section 2 of the article (https:\/\/doi.org\/10.1016\/j.jdeveco.2022.103026).<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2023<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/145120\">International Food Policy Research Institute (IFPRI). 2023. Replication Data for \"Measuring Consumption Over the Phone: Evidence From a Survey Experiment in Urban Ethiopia.\" Washington, DC: IFPRI. https:\/\/doi.org\/10.7910\/DVN\/1YUM6H. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/145120\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Ethiopia<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Eastern Africa; Sub-saharan Africa; Africa; Survey Methods; Food Consumption<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/1yum6h\" target=\"_blank\" data-identifier =\"10568\/145120\">https:\/\/doi.org\/10.7910\/dvn\/1yum6h<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/145120\" target=\"_blank\" data-identifier =\"10568\/145120\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>Agriculture for Nutrition and Health<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Southern Africa;Sub-saharan Africa;Africa;Gender;Women;Women's Participation;Youth;Employment;Entrepreneurship;Business Enterprises;Economic Growth;Workforce;Lesotho;Dataset;2023;\" data-sorttitle=\"SurveyonGenderedConstraintstoEmploymentandEntrepreneurship,Lesotho\" data-sortdate=\"2023\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_145272\">Survey on Gendered Constraints to Employment and Entrepreneurship, Lesotho<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2023<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145272\">Details<\/button><dialog id=\"dialog10568_145272\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145272\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Survey on Gendered Constraints to Employment and Entrepreneurship, Lesotho<\/h4>\n<p class=\"ifResourcesAbstractA\">The dataset comprises a sample of small and medium-sized enterprises in Lesotho interviewed in 2021. The sectors represented are farms; agro-processors; other agricultural businesses; manufacturers; tourism industries & creative industries. The survey instrument was designed to capture information on the experiences of and constraints to employment and entrepreneurship among under-represented groups, specifically: women, youth & persons with disabilities.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2023<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/145272\">International Food Policy Research Institute (IFPRI). 2023. Survey on Gendered Constraints to Employment and Entrepreneurship, Lesotho. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/VBDO8K. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/145272\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Lesotho<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Southern Africa; Sub-saharan Africa; Africa; Gender; Women; Women's Participation; Youth; Employment; Entrepreneurship; Business Enterprises; Economic Growth; Workforce<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/vbdo8k\" target=\"_blank\" data-identifier =\"10568\/145272\">https:\/\/doi.org\/10.7910\/dvn\/vbdo8k<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/145272\" target=\"_blank\" data-identifier =\"10568\/145272\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Crops Research Institute for the Semi-Arid Tropics;Western Africa;Sub-saharan Africa;Africa;Water Management;Land Management;Contour Bunding;Drip Irrigation;Agroecology;Household Income;Crops;Sorghum;Maize;Groundnuts;Cotton;Mali;Dataset;2023;\" data-sorttitle=\"SurveyofLandandWaterManagementPracticesOverTimeontheProductivityandEconomicBenefitsof\" data-sortdate=\"2023\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_145276\">Survey of Land and Water Management Practices Over Time on the Productivity and Economic Benefits of Cereal Crops<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2023<\/span><span class=\"dspaceSub ifresAuthors\">International Crops Research Institute for the Semi-Arid Tropics<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145276\">Details<\/button><dialog id=\"dialog10568_145276\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145276\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Survey of Land and Water Management Practices Over Time on the Productivity and Economic Benefits of Cereal Crops<\/h4>\n<p class=\"ifResourcesAbstractA\">Land and water management practices like that of contour bunding, drip irrigation and shallow wells have been implemented by farmers over time in southern Mali. Farmers use these practices to improve yield performance and increase the household income. The impact of land and water management practices was evaluated on different crops (sorghum, millet, maize, groundnut and cotton) grown in two agro-ecologies of southern Mali. The data collected complete the data on environmental domain (field experiment from 2015 to 2017). That data were collected from the four established technology parks in Bougouni and Koutiala.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2023<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Crops Research Institute for the Semi-Arid Tropics<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/145276\">International Crops Research Institute for the Semi-Arid Tropics (ICRISAT). 2023. Survey of Land and Water Management Practices Over Time on the Productivity and Economic Benefits of Cereal Crops. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/HIMC9V. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/145276\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Mali<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Western Africa; Sub-saharan Africa; Africa; Water Management; Land Management; Contour Bunding; Drip Irrigation; Agroecology; Household Income; Crops; Sorghum; Maize; Groundnuts; Cotton<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/himc9v\" target=\"_blank\" data-identifier =\"10568\/145276\">https:\/\/doi.org\/10.7910\/dvn\/himc9v<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/145276\" target=\"_blank\" data-identifier =\"10568\/145276\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Association Malienne d'\u00e9veil au D\u00e9veloppement Durable;Western Africa;Sub-saharan Africa;Africa;Innovation Adoption;Geographical Information Systems;Remote Sensing;Mali;Dataset;2023;\" data-sorttitle=\"GISMappingofImplementedTechnologiesacrossDifferentAgro-EcologiesandDemographicSettingsto\" data-sortdate=\"2023\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_145271\">GIS Mapping of Implemented Technologies across Different Agro-Ecologies and Demographic Settings to Help Evaluation of Adoption Practices<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2023<\/span><span class=\"dspaceSub ifresAuthors\">Association Malienne d'\u00e9veil au D\u00e9veloppement Durable<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145271\">Details<\/button><dialog id=\"dialog10568_145271\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145271\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">GIS Mapping of Implemented Technologies across Different Agro-Ecologies and Demographic Settings to Help Evaluation of Adoption Practices<\/h4>\n<p class=\"ifResourcesAbstractA\">Technology adoption by farmers is linked to changes in environmental and climate variations but also to the household socio economic status and the cultural acceptance of technologies. The reliability and replicability of the technologies depend to the specific context where technologies are developed and implemented. Regarding the available technologies developed in phase I of the Africa RISING project and technologies under validation in phase II it is important to map and characterize using GIS and remote sensing technologies under different agro-ecological and socio-economic context.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2023<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Association Malienne d'\u00e9veil au D\u00e9veloppement Durable<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/145271\">Association Malienne d'\u00e9veil au D\u00e9veloppement Durable (AMEDD). 2023. GIS Mapping of Implemented Technologies across Different Agro-Ecologies and Demographic Settings to Help Evaluation of Adoption Practices. Washington, DC: International Food Policy Research Institute (IFPRI) [Dataset]. https:\/\/doi.org\/10.7910\/DVN\/HGEW9Q. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/145271\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Mali<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Western Africa; Sub-saharan Africa; Africa; Innovation Adoption; Geographical Information Systems; Remote Sensing<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/hgew9q\" target=\"_blank\" data-identifier =\"10568\/145271\">https:\/\/doi.org\/10.7910\/dvn\/hgew9q<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/145271\" target=\"_blank\" data-identifier =\"10568\/145271\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Institute of Tropical Agriculture;Southern Africa;Sub-saharan Africa;Africa;Crop Residues;Soil Organic Matter;Smallholder Farmers;Legumes;Agricultural Research;Malawi;Dataset;2023;\" data-sorttitle=\"ImplicationsofResidueQuantityandQualityonRotationalMaizeProductivity\" data-sortdate=\"2023\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_145281\">Implications of Residue Quantity and Quality on Rotational Maize Productivity<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2023<\/span><span class=\"dspaceSub ifresAuthors\">International Institute of Tropical Agriculture<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145281\">Details<\/button><dialog id=\"dialog10568_145281\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145281\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Implications of Residue Quantity and Quality on Rotational Maize Productivity<\/h4>\n<p class=\"ifResourcesAbstractA\">Retaining crop residues in fields is a pathway to build  soil organic matter (SOM) on smallholder farmers. The quality of crop residues can be improved through integrating more legume residues. This experiment assess the effect of legume residues from a doubled up system as compared to maize residues on rotational maize and N dynamics in the short term. In the long term, this can increase both quantity and quality of SOM.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2023<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Institute of Tropical Agriculture<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/145281\">International Institute of Tropical Agriculture (IITA). 2023. Implications of Residue Quantity and Quality on Rotational Maize Productivity. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/UJIPSW. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/145281\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Malawi<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Southern Africa; Sub-saharan Africa; Africa; Crop Residues; Soil Organic Matter; Smallholder Farmers; Legumes; Agricultural Research<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/ujipsw\" target=\"_blank\" data-identifier =\"10568\/145281\">https:\/\/doi.org\/10.7910\/dvn\/ujipsw<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/145281\" target=\"_blank\" data-identifier =\"10568\/145281\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Livestock Research Institute;Western Africa;Sub-saharan Africa;Africa;Small Ruminants;Feed Production;Households;Animal Health;Mali;Dataset;2023;\" data-sorttitle=\"PerceivedEffectofFeed-HealthInterventionforImprovedSmallRuminantProductiononGenderandHo\" data-sortdate=\"2023\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_145270\">Perceived Effect of Feed-Health Intervention for Improved Small Ruminant Production on Gender and Household Nutrition in Koutiala District<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2023<\/span><span class=\"dspaceSub ifresAuthors\">International Livestock Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145270\">Details<\/button><dialog id=\"dialog10568_145270\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145270\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Perceived Effect of Feed-Health Intervention for Improved Small Ruminant Production on Gender and Household Nutrition in Koutiala District<\/h4>\n<p class=\"ifResourcesAbstractA\">Under the feed and health intervention study for improved small ruminant production in 2 intervention communities in Koutiala district of Mali, data has been collected on animal performance (average daily gain, flock dynamics), manure production, and cost and benefit which covers the productivity, environmental and economic domains of the sustainable intensification assessment framework. Necessary data has not been collected for the human and social domains regarding this feed-health intervention. The objective of this study was to collect data on the human and social domains so that sustainable intensification assessment framework can be applied to the feed and health intervention for improved small ruminant production. The same households in the 2 communities, forty in total, involved in the feed-health intervention study conducted between 2017 and 2018 were involved in the survey.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2023<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Livestock Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/145270\">International Livestock Research Institute (ILRI). 2023. Perceived Effect of Feed-Health Intervention for Improved Small Ruminant Production on Gender and Household Nutrition in Koutiala District. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/N8AF8A. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/145270\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Mali<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Western Africa; Sub-saharan Africa; Africa; Small Ruminants; Feed Production; Households; Animal Health<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/n8af8a\" target=\"_blank\" data-identifier =\"10568\/145270\">https:\/\/doi.org\/10.7910\/dvn\/n8af8a<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/145270\" target=\"_blank\" data-identifier =\"10568\/145270\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Institute of Tropical Agriculture;Southern Africa;Africa;Soil Organic Matter;Crop Residues;Soil Water Content;Crop Rotation;Smallholder Farmers;Fertilizers;Legumes;Malawi;Dataset;2023;\" data-sorttitle=\"AssessingtheEffectofResidueQuantityandQuality,andWaterConservationonMaizeProductivitya\" data-sortdate=\"2023\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_145280\">Assessing the Effect of Residue Quantity and Quality, and Water Conservation on Maize Productivity and Nitrogen Dynamics on Smallholder Farms in Malawi<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2023<\/span><span class=\"dspaceSub ifresAuthors\">International Institute of Tropical Agriculture<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145280\">Details<\/button><dialog id=\"dialog10568_145280\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145280\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Assessing the Effect of Residue Quantity and Quality, and Water Conservation on Maize Productivity and Nitrogen Dynamics on Smallholder Farms in Malawi<\/h4>\n<p class=\"ifResourcesAbstractA\">Many soils on smallholder farms in Malawi have poor soil organic matter content. This results in poor maize productivity when sufficient mineral fertilizers are not added. Building soil organic matter requires improving both cereal and legume crops primary productivity through mineral fertilizers, and retaining the associated crop residues on the cropped lands. These residues decompose to provide mineral N to crops grown in sequence, as well as being an important source for SOM capitalization. Residues of legumes crops have a narrow C\/N ration and are hypothesized to improve N cycling and benefit the rotational crop, whereas residues of maize, which have a wide C\/N ratio, promote immobilization. While this knowledge is widely known, what is not clear is the interaction between crop residue quality, quantity and soil water management on maize productivity and mineral N dynamics. The data will address the following:<br \/>\n1. Does incorporating soil water enhancing technologies increase\/reduce the immobilization potential of maize residues?<\/p>\n<p>2. What is the effect of varying the quantity of the crop residues incorporated (both maize and legumes) on mineral N dynamics, soil water content and maize productivity<\/p>\n<p>3. For farmers with limited fertilizer use (50% NP), how detrimental is use of maize residues (X0, X1, X2), with or without water conservation measures<\/p>\n<p>4. What is the fertilizer substitution value of different quantity residues generated from a groundnut\/pigeonpea doubled up system?<\/p>\n<p>This data is for the residue generation phase.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2023<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Institute of Tropical Agriculture<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/145280\">International Institute of Tropical Agriculture (IITA). 2023. Assessing the Effect of Residue Quantity and Quality, and Water Conservation on Maize Productivity and Nitrogen Dynamics on Smallholder Farms in Malawi. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/1A6WMD. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/145280\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Malawi<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Southern Africa; Africa; Soil Organic Matter; Crop Residues; Soil Water Content; Crop Rotation; Smallholder Farmers; Fertilizers; Legumes<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/1a6wmd\" target=\"_blank\" data-identifier =\"10568\/145280\">https:\/\/doi.org\/10.7910\/dvn\/1a6wmd<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/145280\" target=\"_blank\" data-identifier =\"10568\/145280\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Crops Research Institute for the Semi-Arid Tropics;Tanzania;Eastern Africa;Sub-saharan Africa;Africa;Scaling;Legumes;Cereals;Maize;Groundnuts;Sorghum;Pigeon Peas;Pearl Millet;Intercropping;Adaptability;Cropping Systems;Dataset;2023;\" data-sorttitle=\"IntensificationofMaize-LegumeBasedSystemsintheSemi-AridAreasofTanzania\" data-sortdate=\"2023\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_145278\">Intensification of Maize-Legume Based Systems in the Semi-Arid Areas of Tanzania<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2023<\/span><span class=\"dspaceSub ifresAuthors\">International Crops Research Institute for the Semi-Arid Tropics<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145278\">Details<\/button><dialog id=\"dialog10568_145278\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145278\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Intensification of Maize-Legume Based Systems in the Semi-Arid Areas of Tanzania<\/h4>\n<p class=\"ifResourcesAbstractA\">This dataset is from the research study that aims to diversify the production environment to de-risk production in these semi-arid ecologies. In this study, two approaches were used , i.e. (i) testing suitability of legume x legume and legume by cereal production systems; (ii) modeling the multiple cropping systems using APSIM crop simulation model to assess changes in resource base, resource use efficiencies, productivity and profitability of the different cropping systems. The data included here are from the testing of suitability of legume legume x legume and legume by cereal production systems in Kongwa, Kiteto and Iringa districts of Tanzania and consists of overall biomass and seed weight along with variety name and intercropping.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2023<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Crops Research Institute for the Semi-Arid Tropics<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/145278\">International Crops Research Institute for the Semi-Arid Tropics (ICRISAT). 2023. Intensification of Maize-Legume Based Systems in the Semi-Arid Areas of Tanzania. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/LPDFCC. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/145278\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Tanzania; Eastern Africa; Sub-saharan Africa; Africa; Scaling; Legumes; Cereals; Maize; Groundnuts; Sorghum; Pigeon Peas; Pearl Millet; Intercropping; Adaptability; Cropping Systems<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/lpdfcc\" target=\"_blank\" data-identifier =\"10568\/145278\">https:\/\/doi.org\/10.7910\/dvn\/lpdfcc<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/145278\" target=\"_blank\" data-identifier =\"10568\/145278\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Tanzania Agricultural Research Institute;International Institute of Tropical Agriculture;University of Dodoma;Tanzania;Eastern Africa;Ridging;Rainwater Harvesting;Tillage;Conventional Farming;Maize;Sorghum;Agricultural Technology;Dataset;2023;\" data-sorttitle=\"ValidationofResidualTiedRidgingInsituRainwaterHarvestingLaborSavingTechnologyinSemi-Arid\" data-sortdate=\"2023\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_144976\">Validation of Residual Tied Ridging Insitu Rainwater Harvesting Labor Saving Technology in Semi-Arid Areas of Central Tanzania<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2023<\/span><span class=\"dspaceSub ifresAuthors\">Tanzania Agricultural Research Institute; International Institute of Tropical Agriculture; University of Dodoma<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_144976\">Details<\/button><dialog id=\"dialog10568_144976\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_144976\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Validation of Residual Tied Ridging Insitu Rainwater Harvesting Labor Saving Technology in Semi-Arid Areas of Central Tanzania<\/h4>\n<p class=\"ifResourcesAbstractA\">This dataset presents the data used in the study that was undertaken in four villages which had tied ridges constructed on 2016\/2017 cropping season. It involved the use of a split-plot design with two factors namely tillage methods (i.e. annual tied ridging (ATR), residual tied ridging (RTR) and conventional farmer practice, (CFP) and two improved maize varieties (one commercial maize variety commonly grown by participating farmers) and one promising drought tolerant maize (DT) variety released by CIMMYT (WEMA) and ICRISAT (NACO Mtama 1). These trials consisted of six treatments that were replicated three times at each site. All treatments were applied with 20kg P\/ha of Diammonium Phosphate (DAP) fertilizer at planting and Urea (40 kg N\/ha) will be applied as a topdressing. Biophysical and socio-economic data will be collected and analyzed. The study consists of two cereal based systems notably: 1. Maize-based cereal system and treatments, and 2.Sorghum-based cereal system.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2023<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Tanzania Agricultural Research Institute; International Institute of Tropical Agriculture; University of Dodoma<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/144976\">Tanzania Agricultural Research Institute (TARI); International Institute of Tropical Agriculture (IITA); University of Dodoma. 2023. Validation of Residual Tied Ridging Insitu Rainwater Harvesting Labor Saving Technology in Semi-Arid Areas of Central Tanzania. Washington, DC: International Food Policy Research Institute. https:\/\/doi.org\/10.7910\/DVN\/JKIU3B. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/144976\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Tanzania; Eastern Africa; Ridging; Rainwater Harvesting; Tillage; Conventional Farming; Maize; Sorghum; Agricultural Technology<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/jkiu3b\" target=\"_blank\" data-identifier =\"10568\/144976\">https:\/\/doi.org\/10.7910\/dvn\/jkiu3b<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/144976\" target=\"_blank\" data-identifier =\"10568\/144976\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Tanzania Agricultural Research Institute;Tanzania;Eastern Africa;Sub-saharan Africa;Africa;Conventional Farming;Soil Compaction;Maize;Tractor;Dataset;2023;\" data-sorttitle=\"UseofTractorMountedRipperTillageforEnhancingSoilWaterInfiltrationandMoistureConservatio\" data-sortdate=\"2023\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_144128\">Use of Tractor Mounted Ripper Tillage for Enhancing Soil Water Infiltration and Moisture Conservation in Semi-Arid Areas of Central Tanzania<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2023<\/span><span class=\"dspaceSub ifresAuthors\">Tanzania Agricultural Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_144128\">Details<\/button><dialog id=\"dialog10568_144128\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_144128\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Use of Tractor Mounted Ripper Tillage for Enhancing Soil Water Infiltration and Moisture Conservation in Semi-Arid Areas of Central Tanzania<\/h4>\n<p class=\"ifResourcesAbstractA\">This dataset presents the data used in the study undertaken in the semi-arid area of Kiteto District in the Babati Region to address the challenge of soil plow layer compaction mainly associated with continued use of tractor mounted plow discs and cattle trampling. Trials were arranged in a mother-baby set up during the 2018\/2019 cropping season whereby baby trials allow wide exposure that enables appropriate socio-economic study conditions. The mother factorial experiment was arranged in a split-plot design with two tillage treatments: Conventional farmer practice i.e. conventional tillage which involves tractor-mounted plow (CT) and rip tillage (RT) and two improved maize varieties (commercial maize variety & DT maize Variety) thus giving a total of four treatment combinations.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2023<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Tanzania Agricultural Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/144128\">Tanzania Agricultural Research Institute (TARI). 2021. Use of Tractor Mounted Ripper Tillage Implement for Enhancing Soil Water Infiltration and Moisture Conservation in Semi-Arid Areas of Kiteto, Manyara Region. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/CWYN3Q. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/144128\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Tanzania; Eastern Africa; Sub-saharan Africa; Africa; Conventional Farming; Soil Compaction; Maize; Tractor<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/cwyn3q\" target=\"_blank\" data-identifier =\"10568\/144128\">https:\/\/doi.org\/10.7910\/dvn\/cwyn3q<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/144128\" target=\"_blank\" data-identifier =\"10568\/144128\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"Tanzania Agricultural Research Institute;International Institute of Tropical Agriculture;University of Dodoma;Tanzania;Eastern Africa;Sub-saharan Africa;Africa;Ridging;Rainwater Harvesting;Tillage;Conventional Farming;Maize;Sorghum;Dataset;2023;\" data-sorttitle=\"ValidationofResidualTiedRidgingInsituRainwaterHarvestingLaborSavingTechnologyinSemi-Arid\" data-sortdate=\"2023\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_144985\">Validation of Residual Tied Ridging Insitu Rainwater Harvesting Labor Saving Technology in Semi-Arid Areas of Central Tanzania<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2023<\/span><span class=\"dspaceSub ifresAuthors\">Tanzania Agricultural Research Institute; International Institute of Tropical Agriculture; University of Dodoma<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_144985\">Details<\/button><dialog id=\"dialog10568_144985\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_144985\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">Validation of Residual Tied Ridging Insitu Rainwater Harvesting Labor Saving Technology in Semi-Arid Areas of Central Tanzania<\/h4>\n<p class=\"ifResourcesAbstractA\">This dataset presents the data used in the study that was undertaken in four villages which had tied ridges constructed on 2016\/2017 cropping season. It involved the use of a split-plot design with two factors namely tillage methods (i.e. annual tied ridging (ATR), residual tied ridging (RTR) and conventional farmer practice, (CFP) and two improved maize varieties (one commercial maize variety commonly grown by participating farmers) and one promising drought tolerant maize (DT) variety released by CIMMYT (WEMA) and ICRISAT (NACO Mtama 1). These trials consisted of six treatments that were replicated three times at each site. All treatments were applied with 20kg P\/ha of Diammonium Phosphate (DAP) fertilizer at planting and Urea (40 kg N\/ha) will be applied as a topdressing. Biophysical and socio-economic data will be collected and analyzed. The study consists of two cereal based systems notably:1. Maize based cereal system and treatments 2. Sorghum based cereal system.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2023<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>Tanzania Agricultural Research Institute; International Institute of Tropical Agriculture; University of Dodoma<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/144985\">Tanzania Agricultural Research Institute (TARI); International Institute of Tropical Agriculture (IITA); University of Dodoma. 2023. Validation of Residual Tied Ridging Insitu Rainwater Harvesting Labor Saving Technology in Semi-Arid Areas of Central Tanzania. https:\/\/doi.org\/10.7910\/DVN\/JKIU3B. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/144985\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Tanzania; Eastern Africa; Sub-saharan Africa; Africa; Ridging; Rainwater Harvesting; Tillage; Conventional Farming; Maize; Sorghum<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/jkiu3b\" target=\"_blank\" data-identifier =\"10568\/144985\">https:\/\/doi.org\/10.7910\/dvn\/jkiu3b<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/144985\" target=\"_blank\" data-identifier =\"10568\/144985\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Eastern Africa;Sub-saharan Africa;Africa;Nutrition;Nutrition Education;Anthropometry;Breastfeeding;Infant Feeding;Health;Foods;Ethiopia;Dataset;2023;\" data-sorttitle=\"A&TEthiopiaMaternalNutritionEndlineSurvey2021:AntenatalCare(ANC)Observation\" data-sortdate=\"2023\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_145112\">A&T Ethiopia Maternal Nutrition Endline Survey 2021: Antenatal Care (ANC) Observation<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2023<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145112\">Details<\/button><dialog id=\"dialog10568_145112\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145112\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">A&T Ethiopia Maternal Nutrition Endline Survey 2021: Antenatal Care (ANC) Observation<\/h4>\n<p class=\"ifResourcesAbstractA\">Alive & Thrive (A&T) is an initiative that supports the scaling up of nutrition interventions to save lives, prevent illnesses, and contribute to healthy growth and development through improved maternal nutrition, breastfeeding, and complementary feeding practices. In Ethiopia, A&T integrated a package of maternal nutrition interventions into existing ANC services delivered through government health facilities (interpersonal counseling on diet quality during pregnancy, counseling on iron-folic acid (IFA) supplementation, adequate weight-gain monitoring, counseling on early breastfeeding practices, and systems strengthening through training and supportive supervision) and community platforms (home visits, Pregnant Women Conferences\/Mother Support groups, and community gatherings) that align with the latest global evidence. This dataset is part of a survey that was conducted to gather endline data for the impact evaluation of the interventions.<\/p>\n<p>The overall study objective was to determine the feasibility of integrating locally relevant maternal nutrition interventions into existing ANC services and determine the impact on diet quality and utilization of nutrition interventions during pregnancy. Research questions include:<br \/>\n1) What is the program impact on maternal practices: (1) consumption of diversified foods during pregnancy; (2) consumption of IFA supplements during pregnancy; and (3) early breastfeeding practices?<br \/>\n2) Can the coverage and utilization of key maternal nutrition interventions during ANC be improved through system strengthening approaches?<br \/>\n3) What factors influenced the integration and strengthening of maternal nutrition interventions into the government ANC service delivery platform?<br \/>\nThe evaluation used a two-arm cluster-randomized, non-masked trial design, consisting of two cross-sectional surveys at baseline and endline. The unit of randomization is the health center and associated health posts in the catchment area. The endline survey was conducted in August-September 2021 by Addis Continental Institute of Public Health (ACIPH), the in-country research collaborator for the survey. The endline survey included the following: 1) Pregnant women questionnaire, 2) Recently delivered women questionnaire, 3) Health Extension Worker (HEW) questionnaire, 4), Nurse-midwife questionnaire, 5) Health facility observation checklist, and 6) ANC observation checklist and exit interview.<\/p>\n<p>The ANC observations and exit interviews were conducted using pretested, structured questionnaires. A direct observation checklist of ANC sessions was used to document services provided, and an in-person interview collected information on perceptions of counseling received and patient satisfaction.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2023<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/145112\">International Food Policy Research Institute (IFPRI). 2023. A&T Ethiopia Maternal Nutrition Endline Survey 2021: Antenatal Care (ANC) Observation. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/PGNVSY. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/145112\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Ethiopia<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Eastern Africa; Sub-saharan Africa; Africa; Nutrition; Nutrition Education; Anthropometry; Breastfeeding; Infant Feeding; Health; Foods<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/pgnvsy\" target=\"_blank\" data-identifier =\"10568\/145112\">https:\/\/doi.org\/10.7910\/dvn\/pgnvsy<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/145112\" target=\"_blank\" data-identifier =\"10568\/145112\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Southern Africa;Eastern Africa;Social Accounting Matrix;Household Consumption;Household Expenditure;Taxes;Economic Indicators;Labour;Sex-disaggregated Data;Malawi;Dataset;2023;oTPxbCdM;\" data-sorttitle=\"2019SocialAccountingMatrixforMalawi\" data-sortdate=\"2023\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_139434\">2019 Social Accounting Matrix for Malawi<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2023<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_139434\">Details<\/button><dialog id=\"dialog10568_139434\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_139434\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">2019 Social Accounting Matrix for Malawi<\/h4>\n<p class=\"ifResourcesAbstractA\">The Nexus Project is a collaboration between IFPRI and its partners, including national statistical agencies and research institutions. Our aim is to improve the quality of social accounting matrices (SAMs) used for computable general equilibrium (CGE) modeling. The Nexus Project develops toolkits and establishes common data standards, procedures, and classification systems for constructing and updating national SAMs. The 2019 Malawi SAM follows the Standard Nexus Structure. The open access version of the Malawi SAM separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital. Labor is further disaggregated across three education categories. Representative households are disaggregated by rural and urban areas and by per capita expenditure quintile. The remaining accounts include enterprises, government, taxes, savings-and-investment, and the rest of the word.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2023<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/139434\">International Food Policy Research Institute (IFPRI). 2023. 2019 Social Accounting Matrix for Malawi. Washington, DC: IFPRI [Dataset]. https:\/\/doi.org\/10.7910\/DVN\/C9WA0I. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/139434\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Malawi<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Southern Africa; Eastern Africa; Social Accounting Matrix; Household Consumption; Household Expenditure; Taxes; Economic Indicators; Labour; Sex-disaggregated Data<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/c9wa0i\" target=\"_blank\" data-identifier =\"10568\/139434\">https:\/\/doi.org\/10.7910\/dvn\/c9wa0i<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/139434\" target=\"_blank\" data-identifier =\"10568\/139434\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Project<\/strong><\/p>\n<p>National Policies and Strategies<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"resultsItem resourceItemRecord switchLayoutsSel list portrait \" data-allterms=\"International Food Policy Research Institute;Eastern Africa;Sub-saharan Africa;Africa;Adolescents;Nutrition;Nutrition Education;Health;Training;Work Satisfaction;Motivation;Ethiopia;Dataset;2023;\" data-sorttitle=\"A&TEthiopiaAdolescentNutritionEndlineSurvey2021:HealthExtensionWorker\" data-sortdate=\"2023\" data-sorttype=\"Dataset\">\n<div class=\"cardInner portrait noThumbnail\" >\n<div class=\"cardContent\">\n<p class=\"outputType\">Dataset<\/p>\n<div class=\"ifResourcesWrap list\">\n<h4 class=\"ifResourcesTitle ifb-title list\" data-identifier =\"10568_145157\">A&T Ethiopia Adolescent Nutrition Endline Survey 2021: Health Extension Worker<\/h4>\n<\/div>\n<p><span class=\"dspaceSub year resultYear\">2023<\/span><span class=\"dspaceSub ifresAuthors\">International Food Policy Research Institute<\/span><\/p>\n<section class=\"resourceBtnSection\"><button class=\"dialogOutputsMore switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145157\">Details<\/button><dialog id=\"dialog10568_145157\" class=\"dialogDetails switchLayoutsSel list\" open><\/p>\n<form method=\"dialog\">\n<div class=\"closeWrapDia\"><button class=\"closeDia list\" aria-label=\"close\" formnovalidate>X<\/button><\/div>\n<details class=\"outputDetails switchLayoutsSel list\" >\n<summary class=\"outputDetails switchLayoutsSel ifResBtn list btnDetailsShown\" data-identifier =\"10568_145157\">Details<\/summary>\n<div class='ifResDetails'>\n<h4 class=\"titleDetails ifResourcesTitle\">A&T Ethiopia Adolescent Nutrition Endline Survey 2021: Health Extension Worker<\/h4>\n<p class=\"ifResourcesAbstractA\">Alive & Thrive (A&T) is an initiative that supports the scaling up of nutrition interventions to save lives, prevent illnesses, and contribute to healthy growth and development through improved maternal nutrition, breastfeeding, and complementary feeding practices. In Ethiopia, A&T implemented a package of adolescent nutrition interventions through school-based (nutrition messages during flag assemblies, classroom lessons on nutrition, student clubs on nutrition for girls, peer mentoring on nutrition, body mass index (BMI) measurement with counseling, and parents\u2019 meetings) and community platforms (health post and home visits and community gatherings to discuss adolescent nutrition). This dataset is part of a survey that was conducted to gather endline data for the impact evaluation of the interventions.<br \/>\nThe overall study objective was to determine the feasibility of delivering nutrition interventions primarily through school-based platforms and their impact on diet quality among adolescent girls. Research questions include:<br \/>\n1) What is the program impact on the diet of adolescent girls: (1) dietary diversity, (2) meal frequency, and (3) less consumption of unhealthy snacks?<br \/>\n2) What is the exposure to adolescent nutrition interventions delivered through school-based platforms?<br \/>\n3) What factors influenced the integration of adolescent nutrition interventions into school-based platforms and their outcomes?<br \/>\nThe evaluation used a two-arm cluster-randomized, non-masked trial design, consisting of two cross-sectional surveys of in-school adolescent girls aged 10-14 years enrolled in grades 4-8. The unit of randomization is the primary school which includes grades 1-8. The endline survey was conducted in March-April 2021 by Addis Continental Institute of Public Health (ACIPH), the in-country research collaborator for the survey. The endline survey included the following: 1) Adolescent girl questionnaire, 2) Parent questionnaire, 3) Teacher\/Principal questionnaire, 4) Primary school observation checklist, and 5) Health Extension Worker (HEW) questionnaire. The HEW interviews were conducted using pretested, structured questionnaires. Information was collected on HEW background, school and community role, nutrition-related activities, perceptions\/beliefs, nutrition knowledge, effect of COVID-19 on workload or work activities, and receipt of COVID-19 training or guidelines.<\/p>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Year published<\/strong><\/p>\n<p>2023<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p class=\"ifb-desc\"><strong>Authors<\/strong><\/p>\n<p>International Food Policy Research Institute<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Citation<\/strong><\/p>\n<p class=\"citationDisplay uagb-ifb-desc \" data-identifier =\"10568\/145157\">International Food Policy Research Institute (IFPRI). 2023. A&T Ethiopia Adolescent Nutrition Endline Survey 2021: Health Extension Worker. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/PQ1O5B. Harvard Dataverse. Version 1.<span class=\"citationClipboard dashicons dashicons-plus-alt\" title=\"Click to copy to citation clipboard\" data-identifier =\"10568\/145157\"><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Country\/Region <\/strong><\/p>\n<p>Ethiopia<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Keywords <\/strong><\/p>\n<p>Eastern Africa; Sub-saharan Africa; Africa; Adolescents; Nutrition; Nutrition Education; Health; Training; Work Satisfaction; Motivation<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Language<\/strong><\/p>\n<p>English<\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Access\/Licence<\/strong><\/p>\n<p>Open Access<span class=\"licAbbr\"><a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\">CC-BY-4.0<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Links<\/strong><\/p>\n<p><a  class=\"ifeb_res_doi\" href=\"https:\/\/doi.org\/10.7910\/dvn\/pq1o5b\" target=\"_blank\" data-identifier =\"10568\/145157\">https:\/\/doi.org\/10.7910\/dvn\/pq1o5b<\/a> <span class=\"repRecord\"><a class=\"ifeb_res_source\" href=\"https:\/\/hdl.handle.net\/10568\/145157\" target=\"_blank\" data-identifier =\"10568\/145157\">Source record<\/a><\/span><\/p>\n<\/div>\n<div class=\"dspaceDetails\">\n<p><strong>Record type<\/strong><\/p>\n<p>Dataset<\/p>\n<\/div>\n<\/div>\n<\/details>\n<p><button class=\"dialogOutputsClose  switchLayoutsSel list\" type=\"Submit\">Close<\/button><\/form>\n<p><\/dialog><\/section>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"flexLastRow\"><\/div>\n<div class=\"flexLastRow\"><\/div>\n<div class=\"flexLastRow\"><\/div>\n<div class=\"flexLastRow\"><\/div>\n<div class=\"flexLastRow\"><\/div>\n<\/div>\n<\/div>\n<\/details>\n<\/section>\n<div class=\"ifResCitPaging ifResCitPagingB\">\n<div class=\"ifres_list_citations_btn ifResBtn ifResBtn dashicons dashicons-plus-alt\" data-allcitations=\"International Food Policy Research Institute (IFPRI). 2026. Impact of Climate Change on Cost and Cost Efficiency of Solar Irrigation in Sub-Saharan Africa. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/SN5BOJ. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Replication Data for \"Rural Credit, Food Security, and Resilience: An Empirical Evaluation from Kenya\". Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/OBZUCX. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Replication Data for \u201cAssessing Multicountry Programs Through a \u201cReach, Benefit, Empower, Transform\u201d Lens\u201d. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/WIZ1PY. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute. 2025. FAIR-Ready Socioeconomic Data from the Nature+ Quantitative Baseline Household and Worker Survey in Kenya. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/IU9BJT. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. The Effects of a Secondary School Scholarship on School Progression and Youth Outcomes: Baseline Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/DOVZNY. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Economic Inclusion Program Cohort 2 in Kenya: Baseline Household Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/0HCFQN. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. 2023 Social Accounting Matrix for Kenya. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/4CNPIE. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Financial Feasibility Maps of Solar Irrigation Under Climate Change in Africa. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/J0Q9TO. Harvard Dataverse. Version 3.\n\nInternational Food Policy Research Institute (IFPRI). 2025. FRESH End-to-End Approach Evaluation in Tanzania: Baseline Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/5KLDV6. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Ultra-poor Graduation Midline Survey in Somalia, 2023. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/207AK5. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Ultra-poor Graduation Endline Survey in Somalia, 2024. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/4QFPA7. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Food Security Simulator \u2013 Malawi. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/YOWPV9. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. 2024 Social Accounting Matrix for Egypt. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/OSMX3D. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. 2023 Social Accounting Matrix for Sierra Leone. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/LSMGLL. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Aflatoxin Surveillance in Kenya. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/XGNOD4. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. 2018 Social Accounting Matrix for Rwanda. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/VO8EYG. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Global Gridded Data on Climate Impact on Yields From DSSAT Crop Model, 2005\u20132050. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/MXJDUC. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. HER+ Sustainable Land Management Trial in Ethiopia: Endline Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/BELDFL. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. HER+ Sustainable Land Management Trial in Ethiopia: Baseline Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/8KASCK. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. SELEVER study: Second follow-up survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/X7RRHL. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. SELEVER study: Endline survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/E7QTZZ. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. SELEVER study: First follow-up survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/SFGXCE. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. SELEVER study: Baseline survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/M4BTGB. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Replication data for \"Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia\". Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/CNLIJO. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Baseline Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/U7DP3C. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Integrated and enhanced dataset on food security and household coping strategies of Mali (2018-2023). Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/NNAYAM. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Integrated and enhanced dataset on food security and household coping strategies of Burkina Faso (2018-2023). Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/IPDCDQ. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Integrated and enhanced dataset on food security and household coping strategies of Niger (2018-2023). Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/SWJOEN. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Integrated and enhanced dataset on food security and household coping strategies of Chad (2018-2023). Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/SQA143. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2025. Replication Data for \"Fertilizer Policy Reforms in the Midst of Crisis: Evidence from Rwanda\". Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/SMGIBM. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI); Massachusetts Institute of Technology (MIT). 2024. Simulated Future Climates for Ethiopia Using MIT-IGSM HFDs Based on CMIP5. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/THC08J. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot, Follow-up 2. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/AVZSE3. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. SPIR II Group Problem Management Plus (gPM+) Baseline Survey in Tigray, Ethiopia. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/U2YUP0. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot, Follow-up 1. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/ZPFK7E. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. Irrigation technologies, Use of Solar Pumps and Gendered Impacts. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/JAWBMQ. Harvard Dataverse. Version 1.0\n\nInternational Food Policy Research Institute (IFPRI). 2024. Food Security Simulator \u2013 Ethiopia. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/LVOLEP. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. 2022 Social Accounting Matrix for Ethiopia. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/UNGXIW. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. 2022 Social Accounting Matrix for Ghana. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/OPGYHL. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. 2022 Social Accounting Matrix for Malawi. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/RX3FYD. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI); Kula Vyema Centre (KVC). 2024. Nature+ Quantitative Baseline Household & Worker Survey, Kenya. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/QFQURF. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. 2022 Social Accounting Matrix for Tanzania. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/CFYF98. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. 2021 Social Accounting Matrix for Sudan. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/IKW7UT. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. 2022 Social Accounting Matrix for Uganda. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/LKK29W. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. 2022 Social Accounting Matrix for Rwanda. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/JRLHAT. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. Survey of Micro, Small, and Medium Enterprises in Agri-Food Value Chains: Network-Based Recruitment Approach in Uganda. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/EXJKYH. Harvard Dataverse. Version 1.\n\nInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT). 2022. Drivers of Pigeon Peas Consumption Among School Aged Children in Central Tanzania. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/VFF2EE. Harvard Dataverse. Version 1.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Generalized Livelihoods Self-efficacy Scale. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/KVKUS4. Harvard Dataverse. Version 3.\n\nInternational Food Policy Research Institute (IFPRI). 2023. Project-Level Women\u2019s Empowerment in Agriculture Index for Market Inclusion (Pro-weai+MI): Malawi Case Study. Washington, DC: IFPRI [Dataset]. https:\/\/doi.org\/10.7910\/DVN\/QQABTY. Harvard Dataverse. Version 1.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Cognitive Labor. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/FPQUCV. Harvard Dataverse. Version 3.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Time-use Agency. Washington, DC: International Food Policy Research Institute (IFPRI) [Survey Instrument]. https:\/\/doi.org\/10.7910\/DVN\/KKJBLW. Harvard Dataverse, V2\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Collective Agency. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/NHWJSJ. Harvard Dataverse. Version 2.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Motivational Autonomy and Internalized Norms. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/M9SQSS. Harvard Dataverse. Version 3.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Gender Inequality: Critical Consciousness Scale. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/EZ2BJF. Harvard Dataverse. Version 3.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Short-form Locus of Control Scale. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/IDCTVE. Harvard Dataverse. Version 2.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Gender and Occupation: Automatic Cognition Test. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/Y5JWAI. Harvard Dataverse. Version 3.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Valuation of Time and Money. Washington, DC: International Food Policy Research Institute (IFPRI) [Survey Instrument]. https:\/\/doi.org\/10.7910\/DVN\/TEJRWT. Harvard Dataverse. Version 3.0\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Algorithmic Assessment of Agency. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/IXQ7KW. Harvard Dataverse. Version 2.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Agricultural Self-efficacy Scale. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/FSKWIY. Harvard Dataverse. Version 2.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Unpacking Joint Decision-making. Washington, DC: International Food Policy Research Institute [Survey Instrument]. https:\/\/doi.org\/10.7910\/DVN\/ZTWQAL. Harvard Dataverse. Version 2.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Intra-personal Conflict Strategies. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/LY4OZN. Harvard Dataverse. Version 2.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Preferences Over Decision-Making. Washington, DC: International Food Policy Research Institute (IFPRI). https:\/\/doi.org\/10.7910\/DVN\/M6F0UX. Harvard Dataverse. Version 3.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Enumerator Characteristics and Reporting Bias. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/1WKIYN. Harvard Dataverse. Version 3.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Rights when Land is Owned Jointly. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/4BASAU. Harvard Dataverse. Version 2.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Bandwidth Depletion. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/XYEYKK. Harvard Dataverse. Version 2.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Goal-setting Capacity Scale. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/3XWMDV. Harvard Dataverse. Version 3.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Asset Rights Upon Marriage Dissolution. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/HJFRRC. Harvard Dataverse. Version 2.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Asset Control and Benefits Scale. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/IXQ7KW. Harvard Dataverse. Version 2.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Understanding the Meanings of Ownership. Washington, DC: IFPRI [Survey Instrument]. https:\/\/doi.org\/10.7910\/DVN\/VM4PJY, Harvard Dataverse. Version 2.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Resistance and Backlash. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/ECYU6B. Harvard Dataverse. Version 2.\n\nMeasures for Advancing Gender Equality (MAGNET) Initiative. 2024. Preferences Over Joint vs. Individual Asset Rights. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/LGN0M8. Harvard Dataverse. Version 3.\n\nInternational Food Policy Research Institute (IFPRI). 2024. ACLED Conflict Index G5 Sahel (2018-2023). Washington, DC: IFPRI [dataset]. Harvard Dataverse. Version 1. https:\/\/hdl.handle.net\/10568\/139799\n\nInternational Food Policy Research Institute (IFPRI). 2024. Ethiopia Feed the Future Innovation Lab for Small-Scale Irrigation (ILSSI) Endline Survey, 2017. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/SSFGDG. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. Tanzania Feed the Future Innovation Lab for Small-Scale Irrigation (ILSSI) Endline Survey, 2017. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/A6GQIO. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. Smallholder Agriculture Commercialization in Rwanda, 2022. Washington, DC: IFPRI [Dataset]. https:\/\/doi.org\/10.7910\/DVN\/X82ADO. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2023. 2021 Social Accounting Matrix for Nigeria. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/095UBP. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2024. Ghana Feed the Future Innovation Lab for Small-Scale Irrigation (ILSSI) Endline Survey, 2017. Washington, DC: IFPRI [Dataset]. https:\/\/doi.org\/10.7910\/DVN\/AHVXHQ. Harvard Dataverse.Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2023. Ghana Feed the Future Innovation Lab for Small-Scale Irrigation (ILSSI) Baseline Survey, 2015. Washington, DC: IFPRI [Dataset]. https:\/\/doi.org\/10.7910\/DVN\/7E7LG7. Harvard Dataverse. Version 1.\n\nGurmu, M., Feleke, S., Abdoulaye, T., Andam, K. & Adeyemo, T. (2024). Dataset on the impact of biofortified cassava in Nigeria: assessment of livelihood outcomes in Nigeria. Ibadan, Nigeria: IITA.\n\nInternational Food Policy Research Institute (IFPRI). 2023. Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot Screening Survey. Washington, DC: IFPRI [Dataset]. https:\/\/doi.org\/10.7910\/DVN\/MMA9XB. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2023. Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot Baseline Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/8JFUAA. Harvard Dataverse. Version 2.\n\nInternational Food Policy Research Institute (IFPRI). 2023. Strengthen PSNP Institutions and Resilience Phase II (SPIR II), Ethiopia: Group Problem Management Plus (g-PM+) Pilot Screening Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/MMA9XB. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2023. A&T Burkina Faso Maternal Nutrition Endline Survey 2021: Agent de sant\u00e9 Communautaire (ASBC). Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/YNWMFH. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2022. COVID-19 Impact on Rural Men and Women in Rwanda, Round 1. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/FSSHMK. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2022. COVID-19 Impact on Rural Men and Women in Rwanda, Round 2. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/J6EAD6. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2023. Strengthen PSNP4 Institutions and Resilience (SPIR), Ethiopia: Baseline Survey. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/NYTIMZ. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI); University for Development Studies (UDS), Tamale, Ghana. 2024. Replication Data for \"Estimating the Intrahousehold Costs and Benefits of Innovations to Enhance Smallholder Farmers\u2019 Resilience.\" Washington, DC: IFPRI [Dataset]. https:\/\/doi.org\/10.7910\/DVN\/V4TDAF. Harvard Dataverse. Version 2.\n\nInternational Food Policy Research Institute (IFPRI). 2023. Replication Data for \"Measuring Consumption Over the Phone: Evidence From a Survey Experiment in Urban Ethiopia.\" Washington, DC: IFPRI. https:\/\/doi.org\/10.7910\/DVN\/1YUM6H. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2023. Survey on Gendered Constraints to Employment and Entrepreneurship, Lesotho. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/VBDO8K. Harvard Dataverse. Version 1.\n\nInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT). 2023. Survey of Land and Water Management Practices Over Time on the Productivity and Economic Benefits of Cereal Crops. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/HIMC9V. Harvard Dataverse. Version 1.\n\nAssociation Malienne d'\u00e9veil au D\u00e9veloppement Durable (AMEDD). 2023. GIS Mapping of Implemented Technologies across Different Agro-Ecologies and Demographic Settings to Help Evaluation of Adoption Practices. Washington, DC: International Food Policy Research Institute (IFPRI) [Dataset]. https:\/\/doi.org\/10.7910\/DVN\/HGEW9Q. Harvard Dataverse. Version 1.\n\nInternational Institute of Tropical Agriculture (IITA). 2023. Implications of Residue Quantity and Quality on Rotational Maize Productivity. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/UJIPSW. Harvard Dataverse. Version 1.\n\nInternational Livestock Research Institute (ILRI). 2023. Perceived Effect of Feed-Health Intervention for Improved Small Ruminant Production on Gender and Household Nutrition in Koutiala District. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/N8AF8A. Harvard Dataverse. Version 1.\n\nInternational Institute of Tropical Agriculture (IITA). 2023. Assessing the Effect of Residue Quantity and Quality, and Water Conservation on Maize Productivity and Nitrogen Dynamics on Smallholder Farms in Malawi. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/1A6WMD. Harvard Dataverse. Version 1.\n\nInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT). 2023. Intensification of Maize-Legume Based Systems in the Semi-Arid Areas of Tanzania. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/LPDFCC. Harvard Dataverse. Version 1.\n\nTanzania Agricultural Research Institute (TARI); International Institute of Tropical Agriculture (IITA); University of Dodoma. 2023. Validation of Residual Tied Ridging Insitu Rainwater Harvesting Labor Saving Technology in Semi-Arid Areas of Central Tanzania. Washington, DC: International Food Policy Research Institute. https:\/\/doi.org\/10.7910\/DVN\/JKIU3B. Harvard Dataverse. Version 1.\n\nTanzania Agricultural Research Institute (TARI). 2021. Use of Tractor Mounted Ripper Tillage Implement for Enhancing Soil Water Infiltration and Moisture Conservation in Semi-Arid Areas of Kiteto, Manyara Region. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. https:\/\/doi.org\/10.7910\/DVN\/CWYN3Q. Harvard Dataverse. Version 1.\n\nTanzania Agricultural Research Institute (TARI); International Institute of Tropical Agriculture (IITA); University of Dodoma. 2023. Validation of Residual Tied Ridging Insitu Rainwater Harvesting Labor Saving Technology in Semi-Arid Areas of Central Tanzania. https:\/\/doi.org\/10.7910\/DVN\/JKIU3B. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2023. A&T Ethiopia Maternal Nutrition Endline Survey 2021: Antenatal Care (ANC) Observation. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/PGNVSY. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2023. 2019 Social Accounting Matrix for Malawi. Washington, DC: IFPRI [Dataset]. https:\/\/doi.org\/10.7910\/DVN\/C9WA0I. Harvard Dataverse. Version 1.\n\nInternational Food Policy Research Institute (IFPRI). 2023. A&T Ethiopia Adolescent Nutrition Endline Survey 2021: Health Extension Worker. Washington, DC: IFPRI [dataset]. https:\/\/doi.org\/10.7910\/DVN\/PQ1O5B. Harvard Dataverse. Version 1.\n\n\"> <span title=\"Click to copy all citations in the above list to your clipboard\">Copy all 100 citations<\/span><\/div>\n<\/div>\n<\/div>\n<p><script type='text\/javascript' src='https:\/\/d1bxh8uas1mnw7.cloudfront.net\/assets\/embed.js'><\/script><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":17510,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-20432","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"mb":[],"mfb_rest_fields":["title"],"_links":{"self":[{"href":"https:\/\/africa.ifpri.info\/fr\/wp-json\/wp\/v2\/pages\/20432","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/africa.ifpri.info\/fr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/africa.ifpri.info\/fr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/africa.ifpri.info\/fr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/africa.ifpri.info\/fr\/wp-json\/wp\/v2\/comments?post=20432"}],"version-history":[{"count":1,"href":"https:\/\/africa.ifpri.info\/fr\/wp-json\/wp\/v2\/pages\/20432\/revisions"}],"predecessor-version":[{"id":20433,"href":"https:\/\/africa.ifpri.info\/fr\/wp-json\/wp\/v2\/pages\/20432\/revisions\/20433"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/africa.ifpri.info\/fr\/wp-json\/wp\/v2\/media\/17510"}],"wp:attachment":[{"href":"https:\/\/africa.ifpri.info\/fr\/wp-json\/wp\/v2\/media?parent=20432"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}