{"type":"script","doc_desc":{"producers":[{"name":"Reproducibility WBG","abbr":"DIME","affiliation":"World Bank - Development Impact Department","role":"Verification and preparation of metadata"}],"version":"1","prod_date":"2024-03-15"},"project_desc":{"authoring_entity":[{"name":"Feraud Tchuisseu Seuyong","email":"feraud.tchuisseu@umontreal.ca ","affiliation":"Universit\u00e9 de Montr\u00e9al"},{"name":"Ifeanyi Edochie","email":"iedochie@worldbank.org","affiliation":"World Bank"},{"name":"David Newhouse","email":"dnewhouse@worldbank.org","affiliation":"World Bank"},{"name":"Ani Rudra Silwal","affiliation":"U.S. Census Bureau","email":"ani.r.silwal@census.gov"}],"output":[{"type":"Working paper","title":"Who did Covid-19 hurt the most in Sub-Saharan Africa?","description":"Policy Research Working Paper (PRWP) WPS10726","uri":"http:\/\/documents.worldbank.org\/curated\/en\/099811103192437778","doi":"https:\/\/doi.org\/10.1596\/1813-9450-10726"}],"datasets":[{"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.","name":"Harmonized High Frequency Phone Survey (HFPS)","access_type":"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)."},{"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_type":"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"}],"software":[{"name":"Stata","version":"18.0"}],"scripts":[{"file_name":"RR_SSA_2024_77-v03","zip_package":"RR_SSA_2024_77-v03.zip","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"}],"title_statement":{"idno":"RR_SSA_2024_77","title":"Reproducibility package for Who did Covid-19 hurt the most in Sub-Saharan Africa?"},"production_date":"2024-03","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\u2019 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\u2019s 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.  ","geographic_units":[{"name":"Sub-Saharan Africa","code":"SSA"}],"data_statement":"All data used for this reproducibility package are restricted. See dataset information for data access.","repository_uri":[{"uri":"https:\/\/reproducibility.worldbank.org","name":"Reproducible Research Repository (World Bank)"}],"technology_requirements":"Runtime: 12 hours","technology_environment":"The code was run in two computers with the following specifications:\nComputer 1:\n- OS: Windows 11 Enterprise\n-  Processor: Intel(R) Core(TM) i5-1145G7 CPU @ 2.60GHz\n-  Memory available: 15.7 GB\n-  Software version: Stata version 18.0 MP\nComputer 2:\n- OS: Windows 10 Enterprise, version 21H2\n-  Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.9GHz\n-  Memory available: 128 GB\n- Software version: Stata 18.0 MP, R 4.2.1","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.","license":[{"name":"Modified BSD3","uri":"https:\/\/opensource.org\/license\/bsd-3-clause\/"}],"contacts":[{"name":"David Newhouse","affiliation":"World Bank","email":"dnewhouse@worldbank.org"},{"name":"Reproducibility WBG","affiliation":"World Bank","email":"reproducibility@worldbank.org"}]},"tags":[{"tag":"DOI"},{"tag":"Open code"},{"tag":"Restricted data"}],"schematype":"script"}