Effective policies and programs aiming to reduce poverty require a clear understanding of how people earn their livelihoods.

The measurement of labor supply in developing countries has always faced a tradeoff between accuracy and detail. Accuracy is thought to be maximized by using short recall periods.

Commonly used data collection practices use annual recall to capture individuals’ labor activities over a year.

This project note discusses findings from a panel phone survey in Malawi in which respondents were asked about their perceptions of the risks and impacts of COVID-19.

This report answers the question: “What guidelines can be used to identify the types of agricultural investments that have the highest economic return, where “agriculture” is broadly defined to include primary production, handling, storage, transp

Through the Notification of Funding Opportunity (NOFO) for the project “Advisory Services – Program Management for Development and Implementation within the Agricultural Sector” (DCO-PR-18-0293) issued a to the International Food Policy Research I

Recall biases in retrospective survey data are widely considered to be pervasive and have important implications for effective agricultural research.

An experiment on social influence in risk-taking among endogenously formed groups in rural Malawi finds decisions by peers are most influential to participants.

Though the differential impacts of earned and unearned income have long been of interest to economists and policymakers, the study of this question is often conflated by other differences between the income streams.

This note summarizes perceptions of COVID-19 impacts and risks from a panel phone survey of rural households in eight districts in rural Malawi.

Malawi reported its first case of COVID-19 in April and declared a national emergency.

Policymakers need to know what policies, investments, and actions they can take to ensure food systems transform in a healthy, sustainable, and equitable way.

A major goal of social protection programs run by governments and NGOs in the developing world is to provide income support to individual and households living in poverty.

We conduct an artefactual field experiment with farmers in endogenously formed groups in rural Malawi to investigate social influence in risk taking. Our experiment minimizes influence through social learning and social image channels.

This study analyzes recent household data on Malawi, Tanzania, and Zambia to assess the impact of the most recent El Niño in East and Southern Africa and the trade policy responses to it.

Using a randomized controlled trial, we examine the impacts of cash and input transfers, and a cross-randomized program of intensive agricultural extension over two years.