IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/89k47_v1.html
   My bibliography  Save this paper

Who Can Work from Home?

Author

Listed:
  • Yasenov, Vasil

Abstract

In response to the COVID-19 pandemic, many states have adopted stay-at-home orders, rendering a large segment of the workforce unable to continue doing their jobs. These policies have distributional consequences, as workers in some occupations may be better able to continue their work from home. I identify the segments of the U.S. workforce that can plausibly work from home by linking occupation data from O*NET to the American Community Survey. I find that lower-wage workers are up to three times less likely to be able to work from home than higher-wage workers. Those with lower levels of education, younger adults, ethnic minorities, and immigrants are also concentrated in occupations that are less likely to be performed from home.

Suggested Citation

  • Yasenov, Vasil, 2020. "Who Can Work from Home?," OSF Preprints 89k47_v1, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:89k47_v1
    DOI: 10.31219/osf.io/89k47_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/5e9b4a96d697350652bddb9b/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/89k47_v1?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
    ---><---

    More about this item

    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:osf:osfxxx:89k47_v1. 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: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    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.