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PRWP

Reproducibility package for Who did Covid-19 hurt the most in Sub-Saharan Africa?

2024
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Reference ID
RR_SSA_2024_77
DOI
https://doi.org/10.60572/f2bb-aj84
Author(s)
Feraud Tchuisseu Seuyong, Ifeanyi Edochie, David Newhouse, Ani Rudra Silwal
Collections
World Bank Policy Research Working Papers
Metadata
JSON
Created on
Mar 19, 2024
Last modified
May 09, 2025
  • Project Description
  • Downloads
  • Overview
  • Reproducibility Package
  • Description
  • Scope and coverage
  • Disclaimer
  • Access and rights
  • Contacts
  • Information on metadata
  • Citation
  • Overview

    Abstract

    How did the economic crisis caused by the Covid-19 pandemic impact poor households in Sub-Saharan Africa? This paper tackles this question by combining 73 High-Frequency Phone Surveys collected by national governments in 14 countries with older nationally representative surveys containing information on household consumption. In particular, it examines how outcomes differed according to predicted per capita consumption quintiles in the first wave of the survey, and in subsequent waves by households’ predicted per capita consumption. The initial shock affected households throughout the predicted welfare distribution. Households in the bottom 40 percent responded by sharply increasing farming activities between May and July of 2020 and gradually increasing ownership of non-farm enterprises starting in August. This coincided with an improvement in welfare, as measured by a decline in food insecurity and distressed asset sales among these households during the second half of 2020. With respect to education, children in the bottom quintile were 15 percentage points less likely to engage in learning activities than those in the top quintile in the immediate aftermath of the crisis, and the engagement gap between the bottom 40 and top 60 widened in the summer before narrowing in the fall due to large declines in engagement among the top 60. Poorer households were slightly more likely to report receiving public assistance immediately following the shock, and this difference changed little over the course of 2020. The results highlight the widespread impacts of the crisis both on welfare and children’s educational engagement, the importance of agriculture and household non-farm enterprises as safety nets for the poor, and the substantial recovery made by the poorest households in the year following the crisis.

    Reproducibility Package

    Scripts
    Readme Get Reproducibility Package
    Link: https://reproducibility.worldbank.org/index.php/catalog/115/download/302/README.pdf
    Reproducibility package (code only) for Who did Covid-19 hurt the most in Sub-Saharan Africa?
    Title
    Reproducibility package (code only) for Who did Covid-19 hurt the most in Sub-Saharan Africa?
    Date
    2024-03
    Dependencies
    All Stata dependencies are stored in the folder 02_Programs/ado
    Instructions
    See README in reproducibility package
    Notes
    Computational reproducibility verified by Development Impact (DIME) Analytics team, World Bank
    Source code repository
    Repository name URI
    Reproducible Research Repository (World Bank) https://reproducibility.worldbank.org
    Software
    Stata
    Name
    Stata
    Version
    18.0

    Reproducibility

    Technology environment

    The code was run in two computers with the following specifications:
    Computer 1:

    • OS: Windows 11 Enterprise
    • Processor: Intel(R) Core(TM) i5-1145G7 CPU @ 2.60GHz
    • Memory available: 15.7 GB
    • Software version: Stata version 18.0 MP
      Computer 2:
    • OS: Windows 10 Enterprise, version 21H2
    • Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.9GHz
    • Memory available: 128 GB
    • Software version: Stata 18.0 MP, R 4.2.1
    Technology requirements

    Runtime: 12 hours

    Data

    Datasets
    Harmonized High Frequency Phone Survey (HFPS)
    Name
    Harmonized High Frequency Phone Survey (HFPS)
    Note
    The HFPS is produced by the Data for Goals Group of the Poverty Global Practice of the World Bank to monitor the potential impacts of the COVID-19 pandemic on households. It covers topics such as knowledge of COVID and mitigation measures, access to routine healthcare, access to educational activities during school closures, employment dynamics, household income and livelihood, income loss and coping strategies, and external assistance.
    Access policy
    Data access is restricted and the data is not included in the package. Replicators can request access to Carolina Diaz-Bonilla (cdiazbonilla@worldbank.org), Gabriel Lara Ibarra (glaraibarra@worldbank.org), and Daniel Mahler (dmahler@worldbank.org).
    World Bank's Global Monitoring Database
    Name
    World Bank's Global Monitoring Database
    Note
    The Global Monitoring Database (GMD) encompasses a set of key indicators for World Bank analytical purposes and operational decision-making, including multidimensional poverty measures, shared prosperity metrics, and median income or expenditure figures.
    Access policy
    Data access is restricted and the data is not included in the package. Data can only be accessed by the World Bank. Replicators can contact the dataset authors at data4goals@worldbank.org
    Data statement

    All data used for this reproducibility package are restricted. See dataset information for data access.

    Description

    Output
    Who did Covid-19 hurt the most in Sub-Saharan Africa?
    Type
    Working paper
    Title
    Who did Covid-19 hurt the most in Sub-Saharan Africa?
    Description
    Policy Research Working Paper (PRWP) WPS10726
    URL
    http://documents.worldbank.org/curated/en/099811103192437778
    DOI
    https://doi.org/10.1596/1813-9450-10726
    Authors
    Author Affiliation Email
    Feraud Tchuisseu Seuyong Université de Montréal feraud.tchuisseu@umontreal.ca
    Ifeanyi Edochie World Bank iedochie@worldbank.org
    David Newhouse World Bank dnewhouse@worldbank.org
    Ani Rudra Silwal U.S. Census Bureau ani.r.silwal@census.gov
    Date of production

    2024-03

    Scope and coverage

    Geographic locations
    Location Code
    Sub-Saharan Africa SSA

    Disclaimer

    Disclaimer

    The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.

    Access and rights

    License
    Name URI
    Modified BSD3 https://opensource.org/license/bsd-3-clause/

    Contacts

    Contacts
    Name Affiliation Email
    David Newhouse World Bank dnewhouse@worldbank.org
    Reproducibility WBG World Bank reproducibility@worldbank.org

    Information on metadata

    Producers
    Name Abbreviation Affiliation Role
    Reproducibility WBG DIME World Bank - Development Impact Department Verification and preparation of metadata
    Date of Production

    2024-03-15

    Document version

    1

    Citation

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