IDEAS home Printed from https://ideas.repec.org/p/tcb/wpaper/2613.html

Housing Market Pressures and Post-Earthquake Displacement: Evidence from the 2023 Türkiye Earthquakes

Author

Listed:
  • Yusuf Emre Akgunduz
  • Muhammed Hamza Kayrici

Abstract

This paper investigates the impact of the February 2023 Türkiye earthquakes on housing markets in unaffected regions using online real estate listings and a time-based Regression Discontinuity Design. We document a sharp post-disaster demand shock driven by large-scale population displacement, with effects concentrated in the residential rental market. Consistent with a residential displacement shock, no significant effects are detected in commercial property markets. Price increases were highly segmented: pressures were strongest for multi-room units, reflecting the larger family structures of displaced households, and for newly constructed units, indicating a post-disaster flight-to-safety. Cross-sectional province-level and difference-in-differences estimates show that pre-existing migration networks and geographic distance are the primary determinants of rental price pressures.

Suggested Citation

  • Yusuf Emre Akgunduz & Muhammed Hamza Kayrici, 2026. "Housing Market Pressures and Post-Earthquake Displacement: Evidence from the 2023 Türkiye Earthquakes," Working Papers 2613, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
  • Handle: RePEc:tcb:wpaper:2613
    as

    Download full text from publisher

    File URL: https://www.tcmb.gov.tr/wps/wcm/connect/en/tcmb+en/main+menu/publications/research/working+paperss/2026/26-13
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

    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:tcb:wpaper:2613. 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: Sermet Pekin or Ilker Cakar or the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/tcmgvtr.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.