IDEAS home Printed from https://ideas.repec.org/a/jre/issued/v33n22011p245-278.html
   My bibliography  Save this article

Risky Borrowers or Risky Mortgages Disaggregating Effects Using Propensity Score Models

Author

Listed:
  • Lei Ding

    () (Wayne State University)

  • Roberto G. Quercia

    (University of North Carolina)

  • Wei Li

    (Center for Responsible Lending)

  • Janneke Ratcliffe

    (University of North Carolina)

Abstract

In this research, we examine the relative risk of subprime mortgages and a sample of community reinvestment loans originated through the Community Advantage Program (CAP). Using the propensity score matching method, we construct a sample of comparable borrowers with similar risk characteristics but holding the two different loan products. We find that the sample of community reinvestment loans have a lower default risk than subprime loans, very likely because they are not originated by brokers and lack risky features such as adjustable rates and prepayment penalties. Results suggest that similar borrowers holding more sustainable products exhibit significantly lower default risks.

Suggested Citation

  • Lei Ding & Roberto G. Quercia & Wei Li & Janneke Ratcliffe, 2011. "Risky Borrowers or Risky Mortgages Disaggregating Effects Using Propensity Score Models," Journal of Real Estate Research, American Real Estate Society, vol. 33(2), pages 245-278.
  • Handle: RePEc:jre:issued:v:33:n:2:2011:p:245-278
    as

    Download full text from publisher

    File URL: http://pages.jh.edu/jrer/papers/pdf/past/vol33n02/05.245_278.pdf
    File Function: Full text
    Download Restriction: no

    References listed on IDEAS

    as
    1. Meng, Chun-Lo & Schmidt, Peter, 1985. "On the Cost of Partial Observability in the Bivariate Probit Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 26(1), pages 71-85, February.
    2. Fishe, Raymond P. H. & Trost, R. P. & Lurie, Philip M., 1981. "Labor force earnings and college choice of young women: An examination of selectivity bias and comparative advantage," Economics of Education Review, Elsevier, vol. 1(2), pages 169-191, April.
    3. 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.
    4. Hunter, William C & Walker, Mary Beth, 1996. "The Cultural Affinity Hypothesis and Mortgage Lending Decisions," The Journal of Real Estate Finance and Economics, Springer, vol. 13(1), pages 57-70, July.
    5. James A. Berkovec & Glenn B. Canner & Stuart A. Gabriel & Timothy H. Hannan, 1994. "Race, redlining, and residential mortgage loan performance," Proceedings, Federal Reserve Bank of Philadelphia, pages 263-298.
    6. Ferguson, Michael F & Peters, Stephen R, 1995. " What Constitutes Evidence of Discrimination in Lending?," Journal of Finance, American Finance Association, vol. 50(2), pages 739-748, June.
    7. Anthony M.J. Yezer & Robert F. Phillips & Robert P. Trost, 1994. "Bias in estimates of discrimination and default in mortgage lending: the effects of simultaneity and self-selection," Proceedings, Federal Reserve Bank of Philadelphia, pages 197-222.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Spenser J. Robinson & Andrew R. Sanderford, 2016. "Green Buildings: Similar to Other Premium Buildings?," The Journal of Real Estate Finance and Economics, Springer, vol. 52(2), pages 99-116, February.
    2. Ding, Lei & Nakamura, Leonard I., 2017. "“Don't Know What You Got Till It’s Gone” — The Effects of the Community Reinvestment Act (CRA) on Mortgage Lending in the Philadelphia Market," Working Papers 17-15, Federal Reserve Bank of Philadelphia.
    3. M. Dietsch & C. Welter-Nicol, 2014. "Do LTV and DSTI caps make banks more resilient?," Débats économiques et financiers 13, Banque de France.
    4. Park, Kevin A., 2016. "FHA loan performance and adverse selection in mortgage insurance," Journal of Housing Economics, Elsevier, vol. 34(C), pages 82-97.
    5. Chan, Sewin & Gedal, Michael & Been, Vicki & Haughwout, Andrew, 2013. "The role of neighborhood characteristics in mortgage default risk: Evidence from New York City," Journal of Housing Economics, Elsevier, vol. 22(2), pages 100-118.
    6. Andres Jauregui & Alan Tidwell & Diane Hite, 2017. "Sample Selection Approaches to Estimating House Price Cash Differentials," The Journal of Real Estate Finance and Economics, Springer, vol. 54(1), pages 117-137, January.
    7. Dietsch, Michel & Petey, Joël, 2015. "The credit-risk implications of home ownership promotion: The effects of public subsidies and adjustable-rate loans," Journal of Housing Economics, Elsevier, vol. 28(C), pages 103-120.
    8. Neil Bhutta, 2011. "The Community Reinvestment Act and Mortgage Lending to Lower Income Borrowers and Neighborhoods," Journal of Law and Economics, University of Chicago Press, vol. 54(4), pages 953-983.

    More about this item

    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

    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:jre:issued:v:33:n:2:2011:p:245-278. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (JRER Graduate Assistant/Webmaster). General contact details of provider: http://www.aresnet.org/ .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.