IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/29527.html
   My bibliography  Save this paper

The Cost of Consumer Collateral: Evidence from Bunching

Author

Listed:
  • Benjamin L. Collier
  • Cameron Ellis
  • Benjamin J. Keys

Abstract

We show that borrowers are highly sensitive to the requirement of posting their homes as collateral. Using administrative loan application and performance data from the U.S. Federal Disaster Loan Program, we exploit a loan amount threshold above which households must post their residence as collateral. One-third of all borrowers select the maximum uncollateralized loan amount, and our bunching estimates suggest that the median borrower is willing to give up 40% of their loan amount to avoid collateral. Exploiting time variation in the loan amount threshold, we find that collateral causally reduces default rates by 35%. Our results help to explain high perceived default costs in the mortgage market, and uniquely quantify the extent to which collateral reduces moral hazard in consumer credit markets.

Suggested Citation

  • Benjamin L. Collier & Cameron Ellis & Benjamin J. Keys, 2021. "The Cost of Consumer Collateral: Evidence from Bunching," NBER Working Papers 29527, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:29527
    Note: CF PE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w29527.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jin, Ming & Chen, Fanglin & Chen, Zhongfei, 2023. "Cultural barriers in China's corporate loans," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    2. Slava Mikhed & Sahil Raina & Barry Scholnick & Man Zhang, 2022. "Debtor Fraud in Consumer Debt Renegotiation," Working Papers 22-35, Federal Reserve Bank of Philadelphia.
    3. Benjamin Collier & Sabrina T. Howell & Lea Rendell, 2024. "After the Storm: How Emergency Liquidity Helps Small Businesses Following Natural Disasters," Working Papers 24-20, Center for Economic Studies, U.S. Census Bureau.

    More about this item

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbr:nberwo:29527. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.