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Bankruptcy exemptions, credit history, and the mortgage market

Author

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  • Souphala Chomsisengphet
  • Ronel Elul

Abstract

We develop and test a model of mortgage underwriting, with particular reference to the role of credit bureau scores. In our model scores are used in a standardized fashion, which reflects the prevalence of automated underwriting in industry practice. We show that our model has implications for the debate on the effect of personal bankruptcy exemptions on secured lending. Recent literature (Berkowitz and Hynes (1999), Lin and White (2001)) has developed conflicting theories—and found conflicting results—seeking to explain how exemptions affect the mortgage market. ; By contrast, our model implies that when lenders use credit scores in a standardized manner, exemptions should be irrelevant to the mortgage underwriting decision. Merging data from a major credit bureau with the Home Mortgage Disclosure Act (HMDA) dataset, we confirm this prediction of our model. We also show that while ignoring borrower credit quality may make exemptions appear to be significant, once one controls for credit scores then exemptions have no effect on the likelihood that a mortgage application is approved. We confirm this empirically and argue that this may help explain some of the results of the previous literature.

Suggested Citation

  • Souphala Chomsisengphet & Ronel Elul, 2005. "Bankruptcy exemptions, credit history, and the mortgage market," Working Papers 04-14, Federal Reserve Bank of Philadelphia.
  • Handle: RePEc:fip:fedpwp:04-14
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    File URL: http://www.philadelphiafed.org/research-and-data/publications/working-papers/2004/WP04-14R.pdf
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    References listed on IDEAS

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    1. Reint Gropp & John Karl Scholz & Michelle J. White, 1997. "Personal Bankruptcy and Credit Supply and Demand," The Quarterly Journal of Economics, Oxford University Press, vol. 112(1), pages 217-251.
    2. Pradeep Dubey & John Geanakoplos & Martin Shubik, 2005. "Default and Punishment in General Equilibrium," Econometrica, Econometric Society, pages 1-37.
    3. Scott Fay & Erik Hurst & Michelle J. White, 2002. "The Household Bankruptcy Decision," American Economic Review, American Economic Association, vol. 92(3), pages 706-718, June.
    4. Robert B. Avery & Paul S. Calem & Glenn B. Canner, 2004. "Consumer credit scoring: do situational circumstances matter?," BIS Working Papers 146, Bank for International Settlements.
    5. Barakova, Irina & Bostic, Raphael W. & Calem, Paul S. & Wachter, Susan M., 2003. "Does credit quality matter for homeownership?," Journal of Housing Economics, Elsevier, pages 318-336.
    6. Munnell, Alicia H. & Geoffrey M. B. Tootell & Lynn E. Browne & James McEneaney, 1996. "Mortgage Lending in Boston: Interpreting HMDA Data," American Economic Review, American Economic Association, vol. 86(1), pages 25-53, March.
    7. Berkowitz, Jeremy & Hynes, Richard, 1999. "Bankruptcy Exemptions and the Market for Mortgage Loans," Journal of Law and Economics, University of Chicago Press, vol. 42(2), pages 809-830, October.
    8. Avery, Robert B. & Calem, Paul S. & Canner, Glenn B., 2004. "Consumer credit scoring: Do situational circumstances matter?," Journal of Banking & Finance, Elsevier, vol. 28(4), pages 835-856, April.
    9. Anthony Pennington-Cross & Joseph Nichols, 2000. "Credit History and the FHA-Conventional Choice," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 28(2), pages 307-336.
    10. Brent W. Ambrose & Charles A. Capone, 1998. "Modeling the Conditional Probability of Foreclosure in the Context of Single-Family Mortgage Default Resolutions," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 26(3), pages 391-429.
    11. Brueckner, Jan K, 2000. "Mortgage Default with Asymmetric Information," The Journal of Real Estate Finance and Economics, Springer, vol. 20(3), pages 251-274, May.
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    Cited by:

    1. Musto, David K. & Souleles, Nicholas S., 2006. "A portfolio view of consumer credit," Journal of Monetary Economics, Elsevier, pages 59-84.

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