IDEAS home Printed from https://ideas.repec.org/p/fip/fedlwp/103090.html

The Determinants of Mortgage Denial Using Public Data

Author

Listed:

Abstract

We analyze over 30 million home purchase mortgage applications from 2018-2024 using publicly available Home Mortgage Disclosure Act (HMDA) data to study the determinants of mortgage denial. We establish three primary findings. First, credit access is highly sensitive to monetary policy; the 2022-2023 tightening drove aggregate denial rates from 12.2% to 15.7% via the debt-to-income (DTI) channel. Second, we identify a critical nonlinearity in underwriting: While the 43% qualified mortgage (QM) threshold---below which lenders receive legal safe harbor from ability-to-repay claims---is non-binding in practice, denial rates jump by 15-17 percentage points at the 50% DTI mark, marking the functional market boundary. Third, substantial racial disparities persist; controlling for lender fixed effects and financials, Black applicants are 7.8 percentage points more likely to be denied than White applicants. Observable characteristics explain at most 41% of this gap. These results demonstrate how monetary tightening interacts with structural inequalities to disproportionately restrict credit access for vulnerable populations at the extensive margin.

Suggested Citation

  • Manu García & Carlos Garriga, 2026. "The Determinants of Mortgage Denial Using Public Data," Working Papers 2026-007, Federal Reserve Bank of St. Louis.
  • Handle: RePEc:fip:fedlwp:103090
    DOI: 10.20955/wp.2026.007
    as

    Download full text from publisher

    File URL: https://doi.org/10.20955/wp.2026.007
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.20955/wp.2026.007?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

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

    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:fip:fedlwp:103090. 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: Scott St. Louis (email available below). General contact details of provider: https://edirc.repec.org/data/frbslus.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.