IDEAS home Printed from https://ideas.repec.org/a/fip/fedlrv/93653.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://files.stlouisfed.org/files/htdocs/publications/review/2022/01/24/who-should-work-from-home-during-a-pandemic-the-wage-infection-trade-off.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Adams-Prassl, A. & Boneva, T. & Golin, M. & Rauh, C., 2020. "Work Tasks That Can Be Done From Home: Evidence on Variation Within and Across Occupations and Industries," Cambridge Working Papers in Economics 2040, Faculty of Economics, University of Cambridge.
    2. Gottlieb Charles & Grobovšek Jan & Poschke Markus & Saltiel Fernando, 2022. "Lockdown Accounting," The B.E. Journal of Macroeconomics, De Gruyter, vol. 22(1), pages 197-210, January.
    3. Dirk Kruger & Harald Uhlig & Taojun Xie, 2020. "Macroeconomic Dynamics and Reallocation in an Epidemic," Working Papers 2020-43, Becker Friedman Institute for Research In Economics.
    4. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    5. Alexander Bick & Adam Blandin & Karel Mertens, 2023. "Work from Home before and after the COVID-19 Outbreak," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(4), pages 1-39, October.
    6. Palomino, Juan C. & Rodríguez, Juan G. & Sebastian, Raquel, 2020. "Wage inequality and poverty effects of lockdown and social distancing in Europe," European Economic Review, Elsevier, vol. 129(C).
    7. Collard, Fabrice & Hellwig, Christian & Assenza, Tiziana & Kankanamge, Sumudu & Dupaigne, Martial & Werquin, Nicolas & Feve, Patrick, 2020. "The Hammer and the Dance: Equilibrium and Optimal Policy during a Pandemic Crisis," CEPR Discussion Papers 14731, C.E.P.R. Discussion Papers.
    8. 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).
    9. Luiz Brotherhood & Philipp Kircher & Cezar Santos & Michèle Tertilt, 2020. "An Economic Model of the Covid-19 Epidemic: The Importance of Testing and Age-Specific Policies," CESifo Working Paper Series 8316, CESifo.
    10. R Maria del Rio-Chanona & Penny Mealy & Anton Pichler & François Lafond & J Doyne Farmer, 0. "Supply and demand shocks in the COVID-19 pandemic: an industry and occupation perspective," Oxford Review of Economic Policy, Oxford University Press, vol. 36(Supplemen), pages 94-137.
    11. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    12. Adams-Prassl, Abigail & Boneva, Teodora & Rauh, Christopher & Golin, Marta, 2020. "Work Tasks That Can Be Done From Home: Evidence on Variation Within & Across Occupations and Industries," CEPR Discussion Papers 14901, C.E.P.R. Discussion Papers.
    13. Lee, Tim & Shin, Yongseok, 2017. "Horizonatal and Vertical Polarization: Task-Specific Technological Change in a Multi-Sector Economy," TSE Working Papers 17-800, Toulouse School of Economics (TSE).
    14. Miklós Koren & Rita Pető, 2020. "Business disruptions from social distancing," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-14, September.
    15. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    16. Titan Alon & Minki Kim & David Lagakos, 2020. "How Should Policy Responses to the COVID-19 Pandemic Differ in the Developing World?," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-350, Boston University - Department of Economics.
    17. Simon Mongey & Laura Pilossoph & Alexander Weinberg, 2021. "Which workers bear the burden of social distancing?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(3), pages 509-526, September.
    18. 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).
    19. Brotherhood, Luiz & Kircher, Philipp & Santos, Cezar & Tertilt, Michèle, 2020. "An economic model of the Covid-19 epidemic: The importance of testing and age-specific policies," CEPR Discussion Papers 14695, C.E.P.R. Discussion Papers.
    20. R Maria del Rio-Chanona & Penny Mealy & Anton Pichler & François Lafond & J Doyne Farmer, 2020. "Supply and demand shocks in the COVID-19 pandemic: an industry and occupation perspective," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 36(Supplemen), pages 94-137.
    21. Brotherhood, Luiz & Kircher, Philipp & Santos, Cezar & Tertilt, Michèle, 2020. "An economic model of the Covid-19 epidemic: The importance of testing and age-specific policies," CEPR Discussion Papers 14695, C.E.P.R. Discussion Papers.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. Brotherhood, Luiz & Jerbashian, Vahagn, 2023. "Firm behavior during an epidemic," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).
    3. 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).
    4. 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).
    5. 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.
    6. 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).
    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. 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.
    9. 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.
    10. L'aszl'o Czaller & GergH{o} T'oth & Bal'azs Lengyel, 2021. "Vaccine allocation to blue-collar workers," Papers 2104.04639, arXiv.org.
    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gottlieb Charles & Grobovšek Jan & Poschke Markus & Saltiel Fernando, 2022. "Lockdown Accounting," The B.E. Journal of Macroeconomics, De Gruyter, vol. 22(1), pages 197-210, January.
    2. Alipour, Jean-Victor & Fadinger, Harald & Schymik, Jan, 2021. "My home is my castle – The benefits of working from home during a pandemic crisis," Journal of Public Economics, Elsevier, vol. 196(C).
    3. Teresa Barbieri & Gaetano Basso & Sergio Scicchitano, 2022. "Italian Workers at Risk During the COVID-19 Epidemic," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 8(1), pages 175-195, March.
    4. Masayuki Morikawa, 2022. "Work‐from‐home productivity during the COVID‐19 pandemic: Evidence from Japan," Economic Inquiry, Western Economic Association International, vol. 60(2), pages 508-527, April.
    5. David E. Bloom & Michael Kuhn & Klaus Prettner, 2022. "Modern Infectious Diseases: Macroeconomic Impacts and Policy Responses," Journal of Economic Literature, American Economic Association, vol. 60(1), pages 85-131, March.
    6. Gottlieb, Charles & Grobovšek, Jan & Poschke, Markus & Saltiel, Fernando, 2021. "Working from home in developing countries," European Economic Review, Elsevier, vol. 133(C).
    7. Aum, Sangmin, 2022. "The Impact of COVID-19 on Jobs in Korea: Does Contact-intensiveness Matter?," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 44(2), pages 1-28.
    8. Toshihiro Okubo, 2024. "Non‐routine tasks and ICT tools in telework," LABOUR, CEIS, vol. 38(2), pages 177-202, June.
    9. Dizioli, Allan & Pinheiro, Roberto, 2021. "Information and inequality in the time of a pandemic," Journal of Economic Dynamics and Control, Elsevier, vol. 130(C).
    10. Bamieh, Omar & Ziegler, Lennart, 2022. "Are remote work options the new standard? Evidence from vacancy postings during the COVID-19 crisis," Labour Economics, Elsevier, vol. 76(C).
    11. Daniel Garrote Sanchez & Nicolas Gomez Parra & Caglar Ozden & Bob Rijkers & Mariana Viollaz & Hernan Winkler, 2021. "Who on Earth Can Work from Home? [Secular Stagnation? The Effect of Aging on Economic Growth in the Age of Automation]," The World Bank Research Observer, World Bank, vol. 36(1), pages 67-100.
    12. Mueller-Langer, Frank & Gómez-Herrera, Estrella, 2022. "Mobility restrictions and the substitution between on-site and remote work: Empirical evidence from a European online labour market," Information Economics and Policy, Elsevier, vol. 58(C).
    13. 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).
    14. Behrens, Kristian & Kichko, Sergei & Thisse, Jacques-Francois, 2024. "Working from home: Too much of a good thing?," Regional Science and Urban Economics, Elsevier, vol. 105(C).
    15. Gokan,Toshitaka & Kichko,Sergei & Matheson,Jesse A & Thisse,Jacques-François, 2022. "How the rise of teleworking will reshape labor markets and cities?," IDE Discussion Papers 868, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    16. Okubo, Toshihiro, 2022. "Telework in the spread of COVID-19," Information Economics and Policy, Elsevier, vol. 60(C).
    17. Greg Kaplan & Benjamin Moll & Giovanni L. Violante, 2020. "The Great Lockdown and the Big Stimulus: Tracing the Pandemic Possibility Frontier for the U.S," NBER Working Papers 27794, National Bureau of Economic Research, Inc.
    18. Etienne Farvaque & Hira Iqbal & Nicolas Ooghe, 2020. "Health politics? Determinants of US states’ reactions to COVID-19," Post-Print hal-03128875, HAL.
    19. Bisin, Alberto & Moro, Andrea, 2022. "Spatial‐SIR with network structure and behavior: Lockdown rules and the Lucas critique," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 370-388.
    20. Severin Reissl & Alessandro Caiani & Francesco Lamperti & Mattia Guerini & Fabio Vanni & Giorgio Fagiolo & Tommaso Ferraresi & Leonardo Ghezzi & Mauro Napoletano & Andrea Roventini, 2022. "Assessing the Economic Impact of Lockdowns in Italy: A Computational Input–Output Approach [Nonlinear Production Networks with an Application to the Covid-19 Crisis]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(2), pages 358-409.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fip:fedlrv:93653. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Scott St. Louis (email available below). General contact details of provider: https://edirc.repec.org/data/frbslus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.