Self-Selection and Discrimination in Credit Markets
AbstractIn this article we make two contributions toward a better understanding of the causes and consequences of discrimination in credit markets. First, we develop an explicit theoretical model of loan underwriting in which lenders use a simple Bayesian updating process to evaluate applicant creditworthiness. Using a signal correlated with an applicant's true creditworthiness and their prior beliefs about the distribution of credit risk in the applicant pool, lenders are able to evaluate an applicant's expected or "inferred" creditworthiness to determine which loans to approve and which to deny. Second, we explicitly model the self-selection behavior of individuals. Because these decisions shape lenders' prior beliefs about the distribution of credit risk, they also affect the Bayesian posterior from which lenders compute an applicant's inferred creditworthiness, implying that statistical discrimination can arise endogenously. As an example, we show that in a market in which only some lenders have Beckerian tastes for discrimination there are conditions under which lenders without racial animus will also discriminate. Our model's flexibility makes it ideal for analyzing a wide variety of empirical and policy questions. Copyright 2005 by the American Real Estate and Urban Economics Association
Download InfoIf 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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by American Real Estate and Urban Economics Association in its journal Real Estate Economics.
Volume (Year): 33 (2005)
Issue (Month): 2 (06)
Contact details of provider:
Postal: Indiana University, Kelley School of Business, 1309 East Tenth Street, Suite 738, Bloomington, Indiana 47405
Phone: (812) 855-7794
Fax: (812) 855-8679
Web page: http://www.blackwellpublishing.com/journal.asp?ref=1080-8620
More information through EDIRC
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Smith, Brent C, 2011. "Stability in consumer credit scores: Level and direction of FICO score drift as a precursor to mortgage default and prepayment," Journal of Housing Economics, Elsevier, vol. 20(4), pages 285-298.
- Lloyd Blanchard & Bo Zhao & John Yinger, 2005. "Do Credit Market Barriers Exist for Minority and Women Entrepreneurs?," Center for Policy Research Working Papers 74, Center for Policy Research, Maxwell School, Syracuse University.
- Goodman, Allen C. & Smith, Brent C., 2010. "Residential mortgage default: Theory works and so does policy," Journal of Housing Economics, Elsevier, vol. 19(4), pages 280-294, December.
- Andrew Carswell, 2009. "Does Housing Counseling Change Consumer Financial Behaviors? Evidence from Philadelphia," Journal of Family and Economic Issues, Springer, vol. 30(4), pages 339-356, December.
- Song Han, 2011. "Creditor Learning and Discrimination in Lending," Journal of Financial Services Research, Springer, vol. 40(1), pages 1-27, October.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum).
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.