IDEAS home Printed from https://ideas.repec.org/a/bla/reesec/v54y2026i1p6-68.html

News media coverage and the predictability of house prices

Author

Listed:
  • Oguzhan Cepni

Abstract

This article introduces new housing‐media‐attention indices for the 50 U.S. states based on the Bloomberg Terminal News Trends (NT) function, which collects articles from various news and social media sources and identifies their content using artificial intelligence tools. The results indicate that the state‐level housing‐media‐attention index explains a significant portion of the total variation in future house prices, even when economic fundamentals are considered. Additionally, I find that the impact of housing media attention on future house prices is stronger in states with non‐recourse mortgage laws, greater land‐use regulations, and higher social connectedness among individuals of both low and high socioeconomic status. Out‐of‐sample forecasting results further suggest that housing media attention has the potential to act as an early indicator of the direction of the housing market.

Suggested Citation

  • Oguzhan Cepni, 2026. "News media coverage and the predictability of house prices," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 54(1), pages 6-68, January.
    • Handle: RePEc:bla:reesec:v:54:y:2026:i:1:p:6-68
    DOI: 10.1111/1540-6229.70008
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1540-6229.70008
    Download Restriction: no
    File URL: https://libkey.io/10.1111/1540-6229.70008?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:54:y:2026:i:1:p:6-68. 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.