IDEAS home Printed from https://ideas.repec.org/p/arz/wpaper/eres2024-049.html
   My bibliography  Save this paper

Highly skilled immigrants and local housing prices: Evidence from the H-1B visa lottery

Author

Listed:
  • Eli Beracha
  • Wintoki Babajide
  • Kim Emily
  • Xi Yaoyi

Abstract

This study explores the extent to which highly skilled immigrants affect local housing prices by exploiting exogenous inflow of highly skilled immigrants to an area through the H-1B visa lottery program. Our results suggest that an influx of highly skilled and high-income immigrants increases the demand for housing. Specifically, our findings show that greater inflow of highly skilled immigrants leads to higher local housing price appreciation. This positive relationship between the influx of highly skilled immigrants and housing price appreciation is stronger in areas with faster overall population growth and in areas with inelastic land supply. However, additional findings show that the inflow of highly skilled workers does not significantly affect local rent prices.

Suggested Citation

  • Eli Beracha & Wintoki Babajide & Kim Emily & Xi Yaoyi, 2024. "Highly skilled immigrants and local housing prices: Evidence from the H-1B visa lottery," ERES eres2024-049, European Real Estate Society (ERES).
    • Handle: RePEc:arz:wpaper:eres2024-049
    as

    Download full text from publisher

    File URL: https://eres.architexturez.net/doc/oai-eres-id-eres2024-049
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    H-1B visa program; housing; housing appreciation; real estate return;
    All these keywords.

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

    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:arz:wpaper:eres2024-049. 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: Architexturez Imprints (email available below). General contact details of provider: https://edirc.repec.org/data/eressea.html .

    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.