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Who Should Work from Home During a Pandemic? The Wage-Infection Trade-off

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  • Sangmin Aum
  • Sang Yoon (Tim) Lee
  • Yongseok Shin

Abstract

Shutting down the workplace is an effective means of reducing contagion but can induce large economic losses. We harmonize the American Time Use Survey and O*NET data to construct a measure of infection risk (exposure index) and a measure of the ease with which a job can be performed remotely (work-from-home index) across both industries and occupations. The two indexes are negatively correlated but distinct, so the economic costs of containing a pandemic can be minimized by sending home only those workers that are highly exposed to infection risk but that can perform their jobs easily from home. Compared with a lockdown of all non-essential jobs, which includes many jobs not easily performed from home, a more selective policy can attain the same reduction in aggregate infection risk (32 percent) with one-third fewer workers sent home to work (24 percent vs. 36 percent) and only half the aggregate wage loss (15 percent vs. 30 percent). In addition, moving to such a policy reduces the infection risk of low-wage workers the most and the wage losses of high-wage workers the most. Our crosswalk between the American Time Use Survey and O*NET data can be applied to a broader set of topics.

Suggested Citation

  • 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.
  • Handle: RePEc:fip:fedlrv:93653
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    Cited by:

    1. 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).
    2. Aum, Sangmin & Lee, Sang Yoon (Tim) & Shin, Yongseok, 2021. "COVID-19 doesn’t need lockdowns to destroy jobs: The effect of local outbreaks in Korea," Labour Economics, Elsevier, vol. 70(C).
    3. Brotherhood, Luiz & Jerbashian, Vahagn, 2023. "Firm behavior during an epidemic," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).
    4. Gonzalez-Eiras, Martín & Niepelt, Dirk, 2022. "The political economy of early COVID-19 interventions in US states," Journal of Economic Dynamics and Control, Elsevier, vol. 140(C).
    5. Adams-Prassl, Abi & Boneva, Teodora & Golin, Marta & Rauh, Christopher, 2022. "Work that can be done from home: evidence on variation within and across occupations and industries," Labour Economics, Elsevier, vol. 74(C).
    6. 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.
    7. Gianni De Fraja & Jesse Matheson & James Rockey, 2020. "Zoomshock: The geography and local labour market consequences of working from home," Discussion Papers 20-31, Department of Economics, University of Birmingham.
    8. L'aszl'o Czaller & GergH{o} T'oth & Bal'azs Lengyel, 2021. "Vaccine allocation to blue-collar workers," Papers 2104.04639, arXiv.org.
    9. Thang Muan Piang, 2022. "Working from home during the Covid-19 pandemic and its effect on employees and students," Eximia Journal, Plus Communication Consulting SRL, vol. 5(1), pages 195-240, July.
    10. Brotherhood, Luiz & Kircher, Philipp & Santos, Cezar & Tertilt, Michèle, 2023. "Optimal Age-based Policies for Pandemics: An Economic Analysis of Covid-19 and Beyond," IDB Publications (Working Papers) 13295, Inter-American Development Bank.
    11. Jamel Choukir & Munirah Sarhan Alqahtani & Essam Khalil & Elsayed Mohamed, 2022. "Effects of Working from Home on Job Performance: Empirical Evidence in the Saudi Context during the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
    12. Lee, Sang Yoon(Tim), 2022. "The political economy of early COVID-19 interventions in U.S. states: Comment," Journal of Economic Dynamics and Control, Elsevier, vol. 140(C).

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    More about this item

    Keywords

    COVID-19; American Time Use Survey; O*NET; work from home; remote work;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

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