On this page, I have tried to summarise some secondary data sources that could be useful for analysis.
Databases:
Demographic and Health Surveys (DHS)
Integrated Public Use Microdata Series (IPUMS) International
International Food Policy Research Institute (IFPRI)
African Economic History Network
Institute for Fiscal Studies (IFS)
The World Bank Microdata Library
JPAL Dataverse Data from field experiments in Economics and Public Policy
NOAA [weather and climate data]
American Time Use Survey (ATUS)
Surveys:
RAND Family Life Surveys (FLS) [Malaysia, Indonesia, Guatemala, Bangladesh]
Young Lives Survey [Ethiopia, Peru, Vietnam, India (Andhra Pradesh and Telangana); 20-year study of childhood poverty and transition to adulthood]
LSMS-Integrated Surveys on Agriculture [Burkina Faso, Ethiopia, Malawi, Mali, Niger, Nigeria, Tanzania, and Uganda; thematic foci - agriculture, SES, non-farm income activities]
LSMS+ [Cambodia, Ethiopia, Malawi, Nepal, Sudan and Tanzania; thematic foci - individual ownership and rights of assets, time use, employment]
ENADID [Mexican demographic surveys; focus - fertility, mortality, migration]
Vietnam Access to Resources Household Survey (VARHS)
UWEZO [Kenya, Tanzania, Uganda; focus - literacy and numeracy]
Surveys specific to India:
India Human Development Survey (IHDS) [nationally representative household longitudinal data on multiple topics]
District Level Household & Facility Survey (DLHS) [repeated cross-sectional household survey at district level; focus on health, education, family planning]
National Family Health Survey (NFHS) [= DHS data on India] [repeated c-s household survey; focus on women and children - population, health and nutrition]
Annual Survey of Industries (ASI) [manufacturing sector (registered)]
Annual Status of Education Report (ASER)
Development Data Lab (COVID-19) [Subdistrict-level hospital and clinic beds, population age distributions, urbanization, population density, infections and deaths]
Consumer Pyramids Household Survey [nationally representative household longitudinal data on well-being; focus on monthly data on household income and consumption]