IDEAS home Printed from https://ideas.repec.org/a/nas/journl/v121y2024pe2408930121.html
   My bibliography  Save this article

How working from home reshapes cities

Author

Listed:
  • Arjun Ramani

    (b Department of Economics, Stanford University , Stanford , CA 94305)

  • Joel Alcedo

    (c Mastercard Economics Institute, Mastercard , Purchase , NY 10577)

  • Nicholas Bloom

    (b Department of Economics, Stanford University , Stanford , CA 94305)

Abstract

In recent decades, economic activity has become increasingly concentrated in major global metropolises. Yet, the rise of working from home threatens this dominance of cities. Using multiple high-frequency datasets on spending, commuting, migration, and housing, we provide global evidence that remote work has dispersed economic activity away from city centers. We label this the “Donut Effect,†which is much larger and more persistent in cities with high levels of remote work. Using detailed household microdata from the United States, we show that three-fifths of households that left city centers in big cities moved to the suburbs of the same city. This is likely explained by the rise of hybrid work, in which employees still commute to the office a few days a week. The enduring popularity of hybrid work into 2024 suggests that the Donut Effect will persist while also leaving broader metropolitan areas intact.

Suggested Citation

  • Arjun Ramani & Joel Alcedo & Nicholas Bloom, 2024. "How working from home reshapes cities," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 121(45), pages 2408930121-, November.
  • Handle: RePEc:nas:journl:v:121:y:2024:p:e2408930121
    DOI: 10.1073/pnas.2408930121
    as

    Download full text from publisher

    File URL: https://doi.org/10.1073/pnas.2408930121
    Download Restriction: no

    File URL: https://libkey.io/10.1073/pnas.2408930121?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:nas:journl:v:121:y:2024:p:e2408930121. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Eric Cain (email available below). General contact details of provider: http://www.pnas.org/ .

    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.