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Heterogeneity in Work From Home: Evidence from Six U.S. Datasets

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Abstract

This paper documents heterogeneity in work from home (WFH) across six U.S. data sets. These surveys agree that pre-pandemic differences in WFH rates by sex, education, and state of residence expanded following the Covid-19 outbreak. The surveys also show similar post-pandemic trends in WFH by firm size and industry. We show that an industry's WFH potential was highly correlated with actual WFH during the first year or two of the Covid-19 pandemic, but that this correlation was much weaker before and after the pandemic, suggesting that WFH potential is a necessary but not sufficient determinant in the decision to WFH.

Suggested Citation

  • Alexander Bick & Adam Blandin & Aidan Caplan & Tristan Caplan, 2024. "Heterogeneity in Work From Home: Evidence from Six U.S. Datasets," Working Papers 2024-038, Federal Reserve Bank of St. Louis.
    • Handle: RePEc:fip:fedlwp:99270
    DOI: 10.20955/wp.2024.038
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    References listed on IDEAS

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    1. Barrero, Jose Maria & Bloom, Nick & Davis, Steven J., 2020. "Why Working From Home Will Stick," SocArXiv wfdbe, Center for Open Science.
    2. Alexander Bick & Adam Blandin, 2023. "Employer Reallocation During the COVID-19 Pandemic: Validation and Application of a Do-It-Yourself CPS," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 49, pages 58-76, July.
    3. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    4. John Mondragon & Johannes F. Wieland, 2022. "Housing Demand and Remote Work," Working Paper Series 2022-11, Federal Reserve Bank of San Francisco.
    5. José María Barrero & Nicholas Bloom & Steven J. Davis, 2023. "The Evolution of Work from Home," Journal of Economic Perspectives, American Economic Association, vol. 37(4), pages 23-50, Fall.
    6. Melanie Arntz & Sarra Ben Yahmed & Francesco Berlingieri, 2020. "Working from Home and COVID-19: The Chances and Risks for Gender Gaps," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 55(6), pages 381-386, November.
    7. Rebecca Jack & Emily Oster, 2023. "COVID-19, School Closures, and Outcomes," Journal of Economic Perspectives, American Economic Association, vol. 37(4), pages 51-70, Fall.
    8. Maria D. Tito, 2024. "Does the Ability to Work Remotely Alter Labor Force Attachment? An Analysis of Female Labor Force Participation," FEDS Notes 2024-01-19-2, Board of Governors of the Federal Reserve System (U.S.).
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    More about this item

    Keywords

    work from home; remote work; telecommuting; commuting; data set comparisons;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production

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