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

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  • Samaniego,Roberto
  • Jedwab,Remi Camille
  • Romer,Paul M
  • Islam,Asif Mohammed

Abstract

Pandemic shocks disrupt human capital accumulation through schooling and work experience. Thisstudy quantifies the long-term economic impact of these disruptions in the case of COVID-19, focusing on countriesat different levels of development and using returns to education and experience by college status that are globallyestimated using 1,084 household surveys across 145 countries. The results show that both lost schooling andexperience contribute to significant losses in global learning and output. Developed countries incur greaterlosses 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 differentialeffects by gender of the COVID-19 pandemic. Surprisingly, while the study uncovers gender differences in returns toeducation and schooling, gender differences in the impact of COVID-19 are small and short-lived, with a loss in femalerelative 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

  • Samaniego,Roberto & Jedwab,Remi Camille & Romer,Paul M & Islam,Asif Mohammed, 2022. "Scars of Pandemics from Lost Schooling and Experience : Aggregate Implications and Gender DifferencesThrough the Lens of COVID-19," Policy Research Working Paper Series 9932, The World Bank.
  • Handle: RePEc:wbk:wbrwps:9932
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    References listed on IDEAS

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    1. 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.
    2. 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).
    3. Hall, Robert E. & Kudlyak, Marianna, 2022. "The inexorable recoveries of unemployment," Journal of Monetary Economics, Elsevier, vol. 131(C), pages 15-25.
    4. 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).
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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

    Educational Sciences; Employment and Unemployment; Public Health Promotion; Gender and Development;
    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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