This dataset explores (1) labor supply and (2) perceptions and impacts of COVID-19 via 4 quarterly phone surveys in rural Malawi.

This dataset is a supplemental data to Mozambique’s National Agricultural Survey (TIA) 2014.

This survey was conducted to collect baseline data for a randomized control trial preceding the introduction of improved energy cookstoves in the Dedza District in the Central Region of Malawi.

This survey was conducted to collect endline data for a randomized control trial study. The endline survey was conducted two years after the introduction of improved energy cookstoves in the Dedza District in the Central Region of Malawi.

This survey was conducted to collect endline data for a randomized control trial, two years after the introduction of the improved cookstoves in the Angonia District of Mozambique.

This survey was conducted to collect baseline data for a randomized control trial preceding the introduction of improved energy cookstoves in the Angonia district in Mozambique.

The survey questionnaires were designed by the International Food Policy Research Institute (IFPRI) in collaboration with the Millennium Challenge Corporation (MCC) to collect information on the experiences of and constraints to employment and ent

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

Using a variety of inputs, IFPRI's Spatial Production Allocation Model (SPAM, also known as MapSPAM) uses a cross-entropy approach to make plausible estimates of crop distribution within disaggregated units.

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 includes a baseline and endline survey from a cluster-randomized sample of households within villages covering the five uppermost Extension Planning Areas (EPAs) in the Shire River Basin in southern Malawi, spanning the districts of B

Combines training and incentives to use mobile money technology alongside targeted input marketing visits to promote formal saving

Baseline data on agricultural production and cell phone technology usage among smallholder farmers in the Nampula province of Mozambique

Between 2006 and 2009, HarvestPlus conducted the Reaching End Users (REU) project in Mozambique and Uganda.

This household survey was conducted as part of a project aimed to provide policymakers and stakeholders in South Africa with tools to better understand, analyze, and form policy decisions to adapt to global change.

The Complementary Panel Survey (CPS) is a continuation of the work undertaken by the Malawi Poverty Monitoring System (PMS) since 1997. Four rounds of the CPS were conducted between January 2000 and September 2002.