https://www.sciencedirect.com/science/article/pii/S0047272720300992 JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. [1648249300] Skip to main content Skip to article Elsevier logo * Journals & Books * * RegisterSign in * View PDF * Download full issue [ ] Elsevier Journal of Public Economics Volume 189, September 2020, 104235 Journal of Public Economics How many jobs can be done at home? Author links open overlay panelJonathan I.DingelBrentNeiman Show more Share Cite https://doi.org/10.1016/j.jpubeco.2020.104235Get rights and content Highlights * We classify the feasibility of working at home for all occupations. * 37% of jobs in the United States can be performed entirely at home. * Jobs that can be done at home typically pay more. * Lower-income economies have a lower share of jobs that can be done at home. Abstract Evaluating the economic impact of "social distancing" measures taken to arrest the spread of COVID-19 raises a fundamental question about the modern economy: how many jobs can be performed at home? We classify the feasibility of working at home for all occupations and merge this classification with occupational employment counts. We find that 37% of jobs in the United States can be performed entirely at home, with significant variation across cities and industries. These jobs typically pay more than jobs that cannot be done at home and account for 46% of all US wages. Applying our occupational classification to 85 other countries reveals that lower-income economies have a lower share of jobs that can be done at home. * Previous article in issue * Next article in issue Keywords Remote work Telecommuting Work from home Recommended articlesCiting articles (0) ^ We thank Menglu Xu and Mingjie Zhu for research assistance. A preliminary version of this research reporting results only for the United States appeared in the first issue of CEPR's Covid Economics: Vetted and Real-Time Papers. We are grateful to Megan Fasules for invaluable feedback on that version. In a subsequent version, we added results for 85 other countries and discussed related subsequent research. We thank the editor and three anonymous referees for suggestions that improved our presentation of our classification procedure and resulting geographic variation across US cities. Dingel thanks the James S. Kemper Foundation Faculty Research Fund at the University of Chicago Booth School of Business. Neiman thanks the William Ladany Faculty Foundation at the University of Chicago Booth School of Business and the Becker Friedman Institute at the University of Chicago for financial support. View Abstract (c) 2020 Elsevier B.V. All rights reserved. Recommended articles No articles found. Citing articles Article Metrics View article metrics Elsevier logo with wordmark * About ScienceDirect * Remote access * Shopping cart * Advertise * Contact and support * Terms and conditions * Privacy policy We use cookies to help provide and enhance our service and tailor content and ads. By continuing you agree to the use of cookies. Copyright (c) 2022 Elsevier B.V. or its licensors or contributors. ScienceDirect (r) is a registered trademark of Elsevier B.V. ScienceDirect (r) is a registered trademark of Elsevier B.V. RELX group home page