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Hit Harder, Recover Slower? Unequal Employment Effects of the COVID-19 Shock

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Abstract

The destructive economic impact of the COVID-19 pandemic was distributed unequally across the population. A worker's gender, race and ethnicity, age, education, industry, and occupation all mattered. We analyze the initial negative effect and its lingering effect through the recovery phase, across demographic and socioeconomic groups. The initial negative impact on employment was larger for women, minorities, the less educated, and the young whether or not we account for the industries and occupations they worked in. By February 2021, however, the differential effects across groups had gotten much smaller overall and had entirely vanished once the different industries and occupations they work in are taken into account. In particular, the differential effects between men and women vanished with or without the industry and occupation compositions taken into account, indicating that women's progress in the labor market over the past decades has not been wiped out by the pandemic. Across race and ethnicity, Hispanics and Asians were the worse hit but made up most of the lost ground, while the initial impact on Blacks was smaller but their recovery was slower.

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  • Sang Yoon (Tim) Lee & Minsung Park & Yongseok Shin, 2021. "Hit Harder, Recover Slower? Unequal Employment Effects of the COVID-19 Shock," Review, Federal Reserve Bank of St. Louis, vol. 103(4), pages 367-383, October.
  • Handle: RePEc:fip:fedlrv:93192
    DOI: 10.20955/r.103.367-83
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    1. Sang Yoon (Tim) Lee & Minsung Park & Yongseok Shin, 2021. "Hit Harder, Recover Slower? Unequal Employment Effects of the COVID-19 Shock," Review, Federal Reserve Bank of St. Louis, vol. 103(4), pages 367-383, October.
    2. Couch, Kenneth A. & Fairlie, Robert W. & Xu, Huanan, 2020. "Early evidence of the impacts of COVID-19 on minority unemployment," Journal of Public Economics, Elsevier, vol. 192(C).
    3. Aum, Sangmin & Lee, Sang Yoon (Tim) & Shin, Yongseok, 2021. "Inequality of fear and self-quarantine: Is there a trade-off between GDP and public health?," Journal of Public Economics, Elsevier, vol. 194(C).
    4. Sangmin Aum & Sang Yoon (Tim) Lee & Yongseok Shin, 2022. "Who Should Work from Home During a Pandemic? The Wage-Infection Trade-off," Review, Federal Reserve Bank of St. Louis, vol. 104(2), pages 92-109.
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    6. Laura Montenovo & Xuan Jiang & Felipe Lozano Rojas & Ian M. Schmutte & Kosali I. Simon & Bruce A. Weinberg & Coady Wing, 2020. "Determinants of Disparities in Covid-19 Job Losses," NBER Working Papers 27132, National Bureau of Economic Research, Inc.
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    8. Sang Yoon (Tim) Lee & Yongseok Shin & Donghoon Lee, 2015. "The Option Value of Human Capital: Higher Education and Wage Inequality," NBER Working Papers 21724, National Bureau of Economic Research, Inc.
    9. Benjamin W. Cowan, 2020. "Short-run Effects of COVID-19 on U.S. Worker Transitions," NBER Working Papers 27315, National Bureau of Economic Research, Inc.
    10. Titan Alon & Matthias Doepke & Jane Olmstead-Rumsey & Michèle Tertilt, 2020. "The Impact of COVID-19 on Gender Equality," CRC TR 224 Discussion Paper Series crctr224_2020_163, University of Bonn and University of Mannheim, Germany.
    11. Eliza Forsythe & Lisa B. Kahn & Fabian Lange & David G. Wiczer, 2020. "Searching, Recalls, and Tightness: An Interim Report on the COVID Labor Market," NBER Working Papers 28083, National Bureau of Economic Research, Inc.
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    More about this item

    Keywords

    COVID-19; unemployment; gender; race; ethnicity; age; education; occupation;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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