Understanding households’ resilience to and recovery from COVID-19 in Sub-Saharan Africa

This README describes the directory structure for cleaning and managing the World Bank COVID phone surveys. The relevant survey data are available under under the High-Frequency Phone Survey collection: http://bit.ly/microdata-hfps.

Index

• Introduction
• Data
• Data cleaning
• Pre-requisites
• Folder structure

Introduction

Contributors:

• Ann Furbush
• Anna Josephson
• Talip Kilic
• Jeffrey D. Michler
• Lorin Rudin-Rush

As described in more detail below, scripts various go through each step, from cleaning raw data to analysis.

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: http://bit.ly/ethiopia-phonesurvey
• Malawi: http://bit.ly/malawi-phonesurvey
• Nigeria: http://bit.ly/nigeria-phonesurvey
• Uganda: http://bit.ly/uganda-phonesurvey

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: http://bit.ly/templateqx
• Manual: http://bit.ly/interviewermanual
• Sampling Guidelines: http://bit.ly/samplingguidelines.

Data cleaning

The code in this repository cleans the raw phone surveys and replicates material (both in text and supplementary material) related to "Socioeconomic impact of COVID-19 in four African countries".

Pre-requisites

Stata reqs

The data processing and analysis requires a number of user-written Stata programs:

• 1. blindschemes
• 2. estout
• 3. mdesc
• 4. grc1leg2
• 5. distinct
• 6. winsor2
• 7. palettes
• 8. catplot
• 9. colrspace

Folder structure

The general repo structure looks as follows:

wb_covid
├────README.md
├────projectdo.do
├────LICENSE
│    
├────country             /* one dir for each country */
│    ├──household_data
│    │  └──wave          /* one dir for each wave */
│    ├──household_cleaning_code 
│
│────Analysis            /* overall analysis */
│    ├──code
│    └──output
│       ├──tables
│       └──figures
│   
└────config