IDEAS home Printed from https://ideas.repec.org/a/bla/reesec/v53y2025i3p420-466.html
   My bibliography  Save this article

Left‐digit bias in property taxes

Author

Listed:
  • Dena Lomonosov

Abstract

This article investigates whether homebuyers display a form of cognitive bias called left digit bias when it comes to future property taxes. Using a regression discontinuity method, and under both hedonic and repeat‐sales estimations, homes with property tax obligations that are just under a $1000 threshold are shown to sell for 0.5% more than other equivalent homes. This type of cognitive error results in an average overpayment of $1650. Results are larger for single‐family homes. Neither market conditions nor property tax growth rates change the left‐digit bias estimates. There is also evidence of additional left‐digit bias with respect to the assessed value.

Suggested Citation

  • Dena Lomonosov, 2025. "Left‐digit bias in property taxes," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 53(3), pages 420-466, May.
  • Handle: RePEc:bla:reesec:v:53:y:2025:i:3:p:420-466
    DOI: 10.1111/1540-6229.12521
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1540-6229.12521
    Download Restriction: no

    File URL: https://libkey.io/10.1111/1540-6229.12521?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:bla:reesec:v:53:y:2025:i:3:p:420-466. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/areueea.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.