Advanced Search
MyIDEAS: Login to save this article or follow this journal

Risky Borrowers or Risky Mortgages Disaggregating Effects Using Propensity Score Models

Contents:

Author Info

  • Lei Ding

    ()
    (Wayne State University)

  • Roberto G. Quercia

    (University of North Carolina)

  • Wei Li

    (Center for Responsible Lending)

  • Janneke Ratcliffe

    (University of North Carolina)

Registered author(s):

    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.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://aux.zicklin.baruch.cuny.edu/jrer/papers/pdf/new_current/vol33n02/05.245_278.pdf
    File Function: Full text
    Download Restriction: no

    Bibliographic Info

    Article provided by American Real Estate Society in its journal journal of Real Estate Research.

    Volume (Year): 33 (2011)
    Issue (Month): 2 ()
    Pages: 245-278

    as in new window
    Handle: RePEc:jre:issued:v:33:n:2:2011:p:245-278

    Contact details of provider:
    Postal: American Real Estate Society Clemson University School of Business & Behavioral Science Department of Finance 401 Sirrine Hall Clemson, SC 29634-1323
    Email:
    Web page: http://www.aresnet.org/

    Order Information:
    Postal: Diane Quarles American Real Estate Society Manager of Member Services Clemson University Box 341323 Clemson, SC 29634-1323
    Email:
    Web: http://aux.zicklin.baruch.cuny.edu/jrer/about/get.htm

    Related research

    Keywords:

    Find related papers by JEL classification:

    References

    No references listed on IDEAS
    You can help add them by filling out this form.

    Citations

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

    Cited by:
    1. 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.

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    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).

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 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.