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

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dc.contributor.authorSeuyong, Feraud Tchuisseu
dc.contributor.authorEdochie, Ifeanyi
dc.contributor.authorNewhouse, David
dc.contributor.authorSilwal, Ani Rudra
dc.date.accessioned2024-03-21T20:57:07Z
dc.date.available2024-03-21T20:57:07Z
dc.date.issued2024-03-21
dc.description.abstractHow 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.en
dc.identifierhttp://documents.worldbank.org/curated/en/099811103192437778/IDU1b3e0a7951932214f961967411b4ad343096a
dc.identifier.doi10.1596/1813-9450-10726
dc.identifier.urihttps://hdl.handle.net/10986/41252
dc.languageEnglish
dc.language.isoen_US
dc.publisherWashington, DC: World Bank
dc.relation.ispartofseriesPolicy Research Working Paper; 10726
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/igo/
dc.subjectCOVID-19
dc.subjectSUB-SAHARAN AFRICA
dc.subjectDISTRIBUTIONAL IMPACTS
dc.titleWho did Covid-19 hurt the most in Sub-Saharan Africa ?en
dc.typeWorking Paper
dspace.entity.typePublication
okr.associatedcontenthttps://reproducibility.worldbank.org/index.php/catalog/115 Link to reproducibility package
okr.crossref.titleWho did Covid-19 hurt the most in Sub-Saharan Africa ?
okr.date.disclosure2024-03-21
okr.date.doiregistration2025-04-12T02:22:27.721322Z
okr.date.lastmodified2024-03-19T00:00:00Zen
okr.doctypePolicy Research Working Paper
okr.doctypePublications & Research
okr.docurlhttp://documents.worldbank.org/curated/en/099811103192437778/IDU1b3e0a7951932214f961967411b4ad343096a
okr.guid099811103192437778
okr.identifier.docmidIDU-b3e0a795-9322-4f96-9674-1b4ad343096a
okr.identifier.doi10.1596/1813-9450-10726
okr.identifier.doihttps://doi.org/10.1596/1813-9450-10726
okr.identifier.externaldocumentum34283956
okr.identifier.internaldocumentum34283956
okr.identifier.reportWPS10726
okr.import.id3552
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/099811103192437778/pdf/IDU1b3e0a7951932214f961967411b4ad343096a.pdfen
okr.region.geographicalAfrica
okr.sectorCentral Government (Central Agencies)
okr.themeInclusive Growth,Human Development and Gender,Data Development and Capacity Building,Economic Policy,Economic Growth and Planning,Disease Control,Pandemic Response,Public Sector Management,Data production, accessibility and use,Structural Transformation and Economic Diversification
okr.topicHealth, Nutrition and Population::Health Monitoring & Evaluation
okr.topicFinance and Financial Sector Development::Finance and Development
okr.unitEFI-AFR2-POV-Poverty and Equity (EAWPV)
okr.unitDevelopment Data Group (DECDG)
relation.isSeriesOfPublication26e071dc-b0bf-409c-b982-df2970295c87
relation.isSeriesOfPublication.latestForDiscovery26e071dc-b0bf-409c-b982-df2970295c87
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