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

Author

Listed:
  • Bick, Alexander
  • Blandin, Adam
  • Caplan, Aidan
  • Caplan, Tristan

Abstract

This paper documents the prevalence of work from home (WFH) in six U.S. data sets. These surveys measure WFH using different questions, reference periods, samples, and survey collection methods. Once we construct samples and WFH measures that are comparable across surveys, all surveys broadly agree about the trajectory of aggregate WFH since the Covid-19 outbreak. The most important source of disagreement in the level of WFH across surveys is in WFH by self-employed workers; by contrast, surveys closely agree on rates of WFH among employees. All surveys agree that in 2024 WFH remains substantially above pre-pandemic levels. We also highlight that full-time WFH drove most of the increase in aggregate WFH during and after the pandemic but part-time WFH has become a more significant contributor since 2022. Finally, we validate findings from survey data by comparing self-reported commuting behavior to cellphone geolocation data from Google Workplace Visits.

Suggested Citation

  • Bick, Alexander & Blandin, Adam & Caplan, Aidan & Caplan, Tristan, 2024. "Measuring Trends in Work From Home: Evidence from Six U.S. Datasets," CEPR Discussion Papers 19495, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:19495
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    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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