Name File Type Size Last Modified
Employment_Share_of_Ag_and_Serv_in_2015.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 50.7 KB 04/29/2022 01:40:PM
Global_Mobility_Report.csv text/csv 839.2 MB 12/21/2021 07:22:AM
Learning_activities_Covid19.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 18.4 MB 03/07/2022 06:37:AM
Main_code_data_plots_python.py application/x-sh 34.9 KB 03/07/2022 06:19:AM
Main_code_data_plots_python_incl_data_cleaning.py application/x-sh 41.6 KB 04/29/2022 01:26:PM
Nigeria_timeline.pdf application/pdf 18.2 KB 03/07/2022 11:09:AM
README.pdf application/pdf 154.7 KB 12/21/2021 07:32:AM
School_closures.csv text/csv 5.2 MB 03/07/2022 11:08:AM
ad_empl_feb.dta application/x-stata-dta 9.6 MB 12/21/2021 07:32:AM
ad_empl_sept.dta application/x-stata-dta 9.9 MB 03/07/2022 10:07:AM

Project Citation: 

Alon, Titan, Doepke, Matthias, Manysheva, Kristina, and Tertilt, Michele. Data and Code for: Gendered Impacts of Covid-19 in Developing Countries. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-05-09. https://doi.org/10.3886/E169142V1

Project Description

Summary:  View help for Summary In many high-income economies, the recession caused by the Covid-19 pandemic has resulted in unprecedented declines in women’s employment. We examine how the forces that underlie this observation play out in developing countries, with a specific focus on Nigeria, the most populous country in Africa. A force affecting high- and low-income countries alike are increased childcare needs during school closures; in Nigeria, mothers of school-age children experience the largest declines in employment during the pandemic, just as in high-income countries. A key difference is the role of the sectoral distribution of employment: whereas in high-income economies reduced employment in contact-intensive services had a large impact on women, this sector plays a minor role in low-income countries. Another difference is that women’s employment rebounded much more quickly in low-income countries. We conjecture that large income losses without offsetting government transfers drive up labor supply in low-income countries during the recovery.
Funding Sources:  View help for Funding Sources National Science Foundation (SES-1949228); German Research Foundation (CRC-TR-224 project A3)

Scope of Project

JEL Classification:  View help for JEL Classification
      D13 Household Production and Intrahousehold Allocation
      E32 Business Fluctuations; Cycles
      J16 Economics of Gender; Non-labor Discrimination
      J20 Demand and Supply of Labor: General


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