This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

An Empirical Study of the Credit Market with Unobserved Consumer Typers

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Li Gan
Roberto Mosquera

Additional information is available for the following registered author(s):

Abstract

This paper proposes an econometric model to identify unobserved consumer types in the credit market. Consumers choose different amounts of loan because of differences in their time or risk preferences (types). Thus, the unconditional probability of default is modeled using a mixture density combining a type-conditioning default variable with a type-determining random variable. The model is estimated using individual-level consumer credit card information. The parameter estimates and statistical tests support this kind of specification. Furthermore, the model produces better out-of-sample predictions on the probability of default than traditional models; hence, it provides evidence of the existence of types in the consumer credit market.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.nber.org/papers/w13873.pdf
File Format: application/pdf
File Function:
Download Restriction: Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at http://www.nber.org/wwphelp.html.

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.

Publisher Info
Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 13873.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length:
Date of creation: Mar 2008
Date of revision:
Handle: RePEc:nbr:nberwo:13873

Note: IO
Contact details of provider:
Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
Phone: 617-868-3900
Email:
Web page: http://www.nber.org
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: ().

Related research
Keywords:

Find related papers by JEL classification:
C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Microeconomic Data
D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Stahl, Dale II & Wilson, Paul W., 1994. "Experimental evidence on players' models of other players," Journal of Economic Behavior & Organization, Elsevier, vol. 25(3), pages 309-327, December. [Downloadable!] (restricted)
  2. D. J. Hand & W. E. Henley, 1997. "Statistical Classification Methods in Consumer Credit Scoring: a Review," Journal Of The Royal Statistical Society Series A, Royal Statistical Society, vol. 160(3), pages 523-541. [Downloadable!] (restricted)
  3. Christopher R. Knittel & Victor Stango, 2003. "Price Ceilings as Focal Points for Tacit Collusion: Evidence from Credit Cards," American Economic Review, American Economic Association, vol. 93(5), pages 1703-1729, December. [Downloadable!] (restricted)
    Other versions:
  4. Feinstein, Jonathan S, 1990. "Detection Controlled Estimation," Journal of Law & Economics, University of Chicago Press, vol. 33(1), pages 233-76, April.
  5. Edelstein, Robert H, 1975. "Improving the Selection of Credit Risks: An Analysis of a Commercial Bank Minority Lending Program," Journal of Finance, American Finance Association, vol. 30(1), pages 37-55, March. [Downloadable!] (restricted)
  6. Spence, A Michael, 1973. "Job Market Signaling," The Quarterly Journal of Economics, MIT Press, vol. 87(3), pages 355-74, August. [Downloadable!] (restricted)
  7. Jaffee, Dwight M & Russell, Thomas, 1976. "Imperfect Information, Uncertainty, and Credit Rationing," The Quarterly Journal of Economics, MIT Press, vol. 90(4), pages 651-66, November. [Downloadable!] (restricted)
  8. Milde, Hellmuth & Riley, John G, 1988. "Signaling in Credit Markets," The Quarterly Journal of Economics, MIT Press, vol. 103(1), pages 101-29, February. [Downloadable!] (restricted)
    Other versions:
Full references

Statistics
Access and download statistics

Did you know? LogEc provides statistical analysis about downloads from this service (and others).

This page was last updated on 2008-10-4.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.