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Scars of Pandemics from Lost Schooling and Experience: Aggregate Implications and Gender Differences Through the Lens of COVID-19

Author

Listed:
  • Remi Jedwab

    (George Washington University)

  • Roberto Samaniego

    (George Washington University)

  • Paul Romer

    (NYU Stern)

  • Asif Islam

    (World Bank)

Abstract

Pandemic shocks disrupt human capital accumulation through schooling and work experience. This study quantifies the long-term economic impact of these disruptions in the case of COVID-19, focusing on countries at different levels of development and using returns to education and experience by college status that are globally estimated using 1,084 household surveys across 145 countries. The results show that both lost schooling and experience contribute to significant losses in global learning and output. Developed countries incur greater losses than developing countries, because they have more schooling to start with and higher returns to experience. The returns to education and experience are also separately estimated for men and women, to explore the differential effects by gender of the COVID-19 pandemic. Surprisingly, while we uncover gender differences in returns to education and schooling, gender differences in the impact of COVID-19 are small and short-lived, with a loss in female relative income of only 2.5 percent or less mainly due to the greater severity of the employment shock on impact. These findings might challenge some of the ongoing narratives in policy circles. The methodology employed in this study is easily implementable for future pandemics.

Suggested Citation

  • Remi Jedwab & Roberto Samaniego & Paul Romer & Asif Islam, 2022. "Scars of Pandemics from Lost Schooling and Experience: Aggregate Implications and Gender Differences Through the Lens of COVID-19," Working Papers 2022-02, The George Washington University, Institute for International Economic Policy.
  • Handle: RePEc:gwi:wpaper:2022-02
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    References listed on IDEAS

    as
    1. Kugler, Maurice & Viollaz, Mariana & Duque, Daniel & Gaddis, Isis & Newhouse, David & Palacios-Lopez, Amparo & Weber, Michael, 2023. "How did the COVID-19 crisis affect different types of workers in the developing world?," World Development, Elsevier, vol. 170(C).
    2. Hall, Robert E. & Kudlyak, Marianna, 2022. "The inexorable recoveries of unemployment," Journal of Monetary Economics, Elsevier, vol. 131(C), pages 15-25.
    3. Kofoed, Michael S. & Gebhart, Lucas & Gilmore, Dallas & Moschitto, Ryan, 2021. "Zooming to Class?: Experimental Evidence on College Students' Online Learning during COVID-19," IZA Discussion Papers 14356, Institute of Labor Economics (IZA).
    4. Ahn, Kunwon & Lee, Jun Yeong & Winters, John V., 2020. "Employment Opportunities and High School Completion during the COVID-19 Recession," ISU General Staff Papers 202010190700001114, Iowa State University, Department of Economics.
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    Cited by:

    1. Nicola Fuchs-Schündeln, 2022. "Covid-Induced School Closures in the US and Germany: Long-Term Distributional Effects," CESifo Working Paper Series 9698, CESifo.

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    More about this item

    Keywords

    Pandemics; Human Capital; Returns to Education; Returns to Experience; Gender; Female Relative Income; Labor Markets; Development Accounting; COVID-19;
    All these keywords.

    JEL classification:

    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J17 - Labor and Demographic Economics - - Demographic Economics - - - Value of Life; Foregone Income
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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