The first round of the Myanmar Household Welfare Survey (MHWS)–a nationwide phone panel consisting of 12,100 households–was implemented between December 2021 and February 2022.

These files consist of the do-files and data for reproducing results presented in the article, "The Gendered Impacts of Income Fluctuations on Household Departure, Labor Supply, and Human Capital Decisions" (Kosec et al., 2021).

This is the third round of the Bangladesh Integrated Household Survey (BIHS).

The Feed the Future Phase One Zone of Influence (ZOI) Endline Survey was implemented by IFPRI through Bangladesh Integrated Household Survey (BIHS) 2018-2019.

This data is from a study conducted on informal food retail in three of Ghana’s cities – Accra, Kumasi and Tamale.

This dataset is the result of the community survey that was conducted to gather data at endline as a part of the impact evaluation of the Alive & Thrive (A&T) interventions in Ethiopia.

The purpose of the US Global Food Security Strategy (GFSS) 2018/2019 baseline survey in Bangladesh is to provide the U.S.

This dataset is the result of the community survey that was conducted to gather data at endline as part of the study assessing the impact of the A&T social and behavior change communication (SBCC) interventions in the Amhara region of Ethiopia

This dataset is the result of the community survey that was conducted to gather data at baseline as part of the study assessing the impact of the A&T social and behavior change communication (SBCC) interventions in the Amhara region of Ethiopi

This dataset is a cleaned subset of a household survey conducted in and around the Rohingya settlement camps in Southeastern Bangladesh.

This data is from a study conducted on informal food retail in two of Nigeria’s secondary cities, Calabar and Minna.

Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform their choices.

Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform their choices.

Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform their choices.

Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform their choices.

Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform their choices.

The BIHS covers 6500 households in 325 primary sampling units

The 1996 Bolivia Social Accounting Matrix (SAM) permits a meaningful and detailed analysis of the productive structure of the economy as well as alternative trade reforms and income distribution channels.