AIDELabAZ/covid_food_security

Replication code for Rudin-Rush, L., Michler, J.D., Josephson, A., and Bloem, J.R. (2022). "Food insecurity during the first year of the COVID-19 pandemic in four African countries." Food Policy 111: 102306. # Food Insecurity During the First Year of the COVID-19 Pandemic in Four African Countries: Replication Code This README describes the directory structure & should enable users to replicate all tables and figures for work related to Rudin-Rush, L. Michler, J.D., Josephson, A., and Bloem, J.R. (2022). "Food Insecurity During the First Year of the COVID-19 Pandemic in Four African Countries." *Food Policy 111*: 102306. The relevant survey data are available under under the High-Frequency Phone Survey collection: bit.ly. Last update: June 2022. For issues or concerns with this repo, please contact Anna Josephson or Jeffrey Michler. ## Index - Introduction - Data - Data cleaning - Pre-requisites - Folder structure ## Introduction We document trends in food security up to one full year after the onset of the COVID-19 pandemic in four African countries. Using household-level data collected by the World Bank, we highlight differences over time amid the pandemic, between rural and urban areas, and between female-headed and male-headed households within Burkina Faso, Ethiopia, Malawi, and Nigeria. We first observe a sharp increase in food insecurity during the early months of the pandemic with a subsequent gradual decline. Next, we find that food insecurity has increased more in rural areas than in urban areas relative to pre-pandemic data within each of these countries. Finally, we do not find a systematic difference in changes in food insecurity between female-headed and male-headed households. These trends complement previous microeconomic analysis studying short-term changes in food security associated with the pandemic and existing macroeconomic projections. Contributors: * Jeffrey Bloem * Ann Furbush * Anna Josephson * Jeffrey D. Michler * Lorin Rudin-Rush As described in more detail below, the `.do`-file scripts variously go through each step, from cleaning raw data to analysis. ## Data The publicly-available data for each survey round …