This dataset includes information collected face-to-face from 1,014 civil society organization (CSO) leaders from 48 communes in rural and urban Mali during January -- March 2021. The goal of the CSO leaders' survey is two-fold.

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.

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 complem

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 complem

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 complem

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 complem

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 complem

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 complem

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 complem

The E-FooD Dataset provides income and price elasticities of food demand in developing countries. The elasticities are derived from food demand system estimations, using representative household survey data.

The optimal design of informal contracts in agricultural value chains depends on when farmers prefer to be paid for their output.

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 dataset is the result of the frontline health workers/Anganwadi workers (AWW) survey that was conducted to gather data for the endline part of the impact evaluation study of the Alive & Thrive (A&T) interventions delivered through the

This dataset is the result of the frontline health workers/ auxiliary nurse midwife (ANM) survey that was conducted to gather data for the endline part of the impact evaluation study of the Alive & Thrive (A&T) interventions delivered thro

This dataset is the result of the frontline health workers/ accredited social health activist (ASHA) survey that was conducted to gather data for the endline part of the impact evaluation study of the Alive & Thrive (A&T) interventions del

This dataset contains the data and scripts required to reproduce the tables and figures in the study titled "Income, consumer preferences, and the future of livestock-derived food demand." R scripts were run using R version 4.0.5 on Windows 10 x64

These files comprise data and do-files for reproducing results presented in the article "Taxing Informality: Compliance and Policy Preferences in Urban Zambia" (Resnick, 2020).

These files comprise dataset and do-files for reproducing results presented in the article, "Perceptions of Relative Deprivation and Women's Empowerment" (Kosec, Mo, Schmidt, and Song, 2021).

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

This data is from a study conducted with 80 directors of agriculture in Ghana’s Metropolitan, Municipal, and District Assemblies (MMDAs).