IDEAS home Printed from https://ideas.repec.org/a/taf/houspd/v33y2023i1p164-193.html
   My bibliography  Save this article

Shared and Crowded Housing in the Bay Area: Where Gentrification and the Housing Crisis Meet COVID-19

Author

Listed:
  • Jackelyn Hwang
  • Bina Patel Shrimali

Abstract

Amid the growing affordable housing crisis and widespread gentrification over the last decade, people have been moving less than before and increasingly live in shared and often crowded households across the U.S. Crowded housing has various negative health implications, including stress, sleep disorders, and infectious diseases. Difference-in-difference analysis of a unique, large-scale longitudinal consumer credit database of over 450,000 San Francisco Bay Area residents from 2002 to 2020 shows gentrification affects the probability of residents shifting to crowded households across the socioeconomic spectrum but in different ways than expected. Gentrification is negatively associated with low- socioeconomic status (SES) residents’ probability of entering crowded households, and this is largely explained by increased shifts to crowded households in neighborhoods outside of major cities showing early signs of gentrification. Conversely, gentrification is associated with increases in the probability that middle-SES residents enter crowded households, primarily in Silicon Valley. Lastly, crowding is positively associated with COVID-19 case rates, beyond density and socioeconomic and racial composition in neighborhoods, although the role of gentrification remains unclear. Housing policies that mitigate crowding can serve as early interventions in displacement prevention and reducing health inequities.

Suggested Citation

  • Jackelyn Hwang & Bina Patel Shrimali, 2023. "Shared and Crowded Housing in the Bay Area: Where Gentrification and the Housing Crisis Meet COVID-19," Housing Policy Debate, Taylor & Francis Journals, vol. 33(1), pages 164-193, January.
  • Handle: RePEc:taf:houspd:v:33:y:2023:i:1:p:164-193
    DOI: 10.1080/10511482.2022.2099934
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10511482.2022.2099934
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10511482.2022.2099934?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:houspd:v:33:y:2023:i:1:p:164-193. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RHPD20 .

    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.