Replication code all analysis for the book chapter Furbush, A., Josephson, A., Kilic, T., and Michler, J.D. (2021). "The evolving socioeconomic impacts of COVID-19 in four African countries" in Shaping Africa's Post-Covid Recovery.
# The Evolving Socioeconomic Impacts of COVID-19 in Four African Countries: Replication Code
This README describes the directory structure & Stata packages necessary to replicate all analysis for the book chapter "The evolving socioeconomic impacts of COVID-19 in four African countries" in *Shaping Africa's Post-Covid Recovery*, edited by Rabah Arezki, Simeon Djankov, and Ugo Panizza. The work relies on the World Bank LSMS and World Bank COVID phone surveys. For more information and to access these phone surveys, visit the World Bank Microdata Library. The relevant surveys are available under under the High-Frequency Phone Survey collection:
bit.ly. We make no guarantee that variables not used in the analysis are cleaned or accurate.
Last updated: January 2021.
For issues or concerns with this repo, please contact Anna Josephson or Jeffrey Michler.
## Index
- Contributors
- Data
- Data cleaning
- Developing Environment
## Contributors
* Ann Furbush
* Anna Josephson [aljosephson@arizona.edu]
* Talip Kilic
* Jeffrey D. Michler [jdmichler@arizona.edu]
## Data
The publicly-available data for each survey round is coupled with a basic information document, interview manual, and questionnaire for that round, which can be accessed through:
- Ethiopia:
bit.ly
- Malawi:
bit.ly
- Nigeria:
bit.ly
- Uganda:
bit.ly
The approach to the phone survey questionnaire design and sampling is comparable across countries. It is informed by the template questionnaire and the phone survey sampling guidelines that have been publicly made available by the World Bank. These can be accessed through:
- Template Questionnaire:
bit.ly
- Manual:
bit.ly
- Sampling Guidelines:
bit.ly.
## Data cleaning
### Pre-requisites
The data processing and analysis requires a number of user-written Stata …