This is the baseline dataset for the Farm and Family Balance Study. Sample consists of married sugarcane farmers associated with a large sugar company near Jinja, Uganda. All eligible farmers who agreed to participate are included.
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This dataset is a follow-up for households who were visited during Feed the Future I (FtF) Ethiopia end-line Survey 2018 and who participated in land rental market in Tigray and Amhara regions.
This dataset presents government expenditures by economic classification of expenses rather than by functional classification as it was the case in previous versions.
This dataset explores (1) labor supply and (2) perceptions and impacts of COVID-19 via 4 quarterly phone surveys in rural Malawi.
C’est la Vie! is an education edutainment TV series developed and produced by the Réseau Africain pour l’Education à la Santé (RAES), a Senegalese non-governmental organization with support from UN partners. C’est la vie!
This dataset is a supplemental data to Mozambique’s National Agricultural Survey (TIA) 2014.
This dataset is a supplemental data to Feed the Future I (FtF) Ethiopia end-line Survey 2018.
In 2014 the Government of Mali began implementing its “Filets Sociaux (Jigisémèjiri)” program that aims at reducing poverty and improving human capital accumulation through targeted cash transfers, accompanying measures (or trainings), and prevent
In 2014 the Government of Mali began implementing its “Filets Sociaux (Jigisémèjiri)” program that aims at reducing poverty and improving human capital accumulation through targeted cash transfers, accompanying measures (or trainings), and prevent
This study contains data that were collected to assess the demand and supply of extension services in Malawi. The survey covers 3001 households and 299 sections in all 29 districts in Malawi (excluding Likoma).
This study contains data that were collected to assess the demand and supply of extension services in Malawi.
These data are from phone surveys conducted for 1,767 wheat and tomato farmers spread across four districts in the state of Haryana, India.
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).
This dataset includes data and do-files for reproducing results presented in the article "Designing better Input Support Programs: Lessons from Zinc Subsidies in Andhra Pradesh, India." The data used in the analysis of this paper were generated fr
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).
This is a value-added secondary dataset, derived from the third (2010/11) and fourth (2016/17) Malawi Integrated Household Survey (MIHS) datasets compiled by the National Statistical Office of Malawi with technical assistance from the World Bank.
This dataset is from a study conducted on taxation and service delivery in Lusaka’s informal markets.
This dataset is a cleaned subset of a household survey conducted in and around the Rohingya settlement camps in Southeastern Bangladesh.
The producer/household survey was conducted to study teff value chains in order to make recommendations to policymakers on how to improve the value chain for farmers, wholesalers, retailers, and consumers in Ethiopia.