IDEAS home Printed from https://ideas.repec.org/a/eee/jhouse/v72y2026ics1051137726000264.html

Natural disasters, property reappraisal, and fiscal outcomes

Author

Listed:
  • Davlasheridze, Meri
  • Hou, Yilin
  • Miao, Qing

Abstract

This study examines the role of natural disasters in prompting property assessments and their combined effects on homeowners and local government finance. Using the 2017 Hurricane Harvey as a quasi-experiment, we employ a difference-in-differences hedonic model and data of Harris County, Texas to analyze the changes in assessed and market values, assessment ratios, and effective tax rates for affected properties. Results show that Harvey caused an approximate 1.5% decline in assessed values, averaging $4927 per house and $2.6 billion reduction in tax base. The greater decline in assessed values relative to market values resulted in lower effective tax rates for affected homeowners after the storm. Houses in the Special Flood Hazard Areas experienced the largest declines in market and assessed values, closely mirroring value decreases among flooded houses. The storm effects varied across property value brackets, with lower-valued houses experiencing the most adverse shocks and also receiving proportionally greater tax relief than higher-valued ones. Though Harvey slashed property values, its effects were largely reversed within a year, revealing the resilience of the local housing market and the importance of fair tax policy in post-disaster recovery.

Suggested Citation

  • Davlasheridze, Meri & Hou, Yilin & Miao, Qing, 2026. "Natural disasters, property reappraisal, and fiscal outcomes," Journal of Housing Economics, Elsevier, vol. 72(C).
  • Handle: RePEc:eee:jhouse:v:72:y:2026:i:c:s1051137726000264
    DOI: 10.1016/j.jhe.2026.102145
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1051137726000264
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jhe.2026.102145?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:jhouse:v:72:y:2026:i:c:s1051137726000264. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622881 .

    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.