IDEAS home Printed from https://ideas.repec.org/a/bla/revinw/v72y2026i1ne70048.html

Improving Estimates on Housing Wealth With Survey and Administrative Data

Author

Listed:
  • Roberto Benedetti
  • Andrea Neri
  • Eleonora Porreca
  • M. Giovanna Ranalli

Abstract

This study estimates housing wealth by combining survey data from the Survey on Household Income and Wealth with administrative data from the Italian Real Estate Market Observatory. Both sources have limitations: survey data are subject to reporting bias, while administrative data may not capture property‐specific characteristics. To address these issues, we employ a finite mixture model combined with factor score prediction to account for measurement errors and exploit the complementarity of the two sources. The results reveal systematic differences between survey and administrative estimates, and show that their integration leads to more reliable and accurate estimates of housing wealth, improving our understanding of its distribution across households.

Suggested Citation

  • Roberto Benedetti & Andrea Neri & Eleonora Porreca & M. Giovanna Ranalli, 2026. "Improving Estimates on Housing Wealth With Survey and Administrative Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 72(1), February.
    • Handle: RePEc:bla:revinw:v:72:y:2026:i:1:n:e70048
    DOI: 10.1111/roiw.70048
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/roiw.70048
    Download Restriction: no
    File URL: https://libkey.io/10.1111/roiw.70048?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:revinw:v:72:y:2026:i:1:n:e70048. 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/iariwea.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.