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! ]

Determinants of Borrowing Limits on Credit Cards

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Shubhasis Dey
Gene Mumy

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

Abstract

The difference between actual borrowings and borrowing limits alone generates information asymmetry in the credit card market. This information asymmetry can make the market incomplete and create ex post misallocations. Households that are denied credit could well turn out to be ex post less risky than some credit card holders who borrow large portions of their borrowing limits. Using data from the U.S. Survey of Consumer Finances, the authors find a positive relationship between borrower quality and borrowing limits, controlling for banks' selection of credit card holders and the endogeneity of interest rates. Their estimation reveals how interest rates have a negative influence on the optimal borrowing limits offered by banks.

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 page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.bankofcanada.ca/en/res/wp/2005/wp05-7.pdf
File Format:
File Function:
Download Restriction: no

Publisher Info
Paper provided by Bank of Canada in its series Working Papers with number 05-7.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 32 pages
Date of creation: 2005
Date of revision:
Handle: RePEc:bca:bocawp:05-7

Contact details of provider:
Postal: 234 Wellington Street, Ottawa, Ontario, K1A 0G9, Canada
Phone: 613 782-8899
Fax: 613 782-8874
Web page: http://www.bank-banque-canada.ca/

Order Information:
Postal: Publications Distribution, Bank of Canada, 234 Wellington Street, Ottawa, Ontario, K1A 0G9, Canada
Email:
Web: http://www.bank-banque-canada.ca/en/publication/pub_res.html

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

Related research
Keywords: Market structure and pricing; Econometric and statistical methods;

Other versions of this item:

Find related papers by JEL classification:
D4 - Microeconomics - - Market Structure and Pricing
D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information
C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables

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. Ausubel, Lawrence M, 1991. "The Failure of Competition in the Credit Card Market," American Economic Review, American Economic Association, vol. 81(1), pages 50-81, March.
  2. Paul S. Calem & Loretta J. Mester, 1995. "Consumer behavior and the stickiness of credit card interest rates," Working Papers 95-10, Federal Reserve Bank of Philadelphia.
    Other versions:
  3. Christopher D. Carroll, 1992. "The Buffer-Stock Theory of Saving: Some Macroeconomic Evidence," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 23(1992-2), pages 61-156. [Downloadable!]
  4. Brito, Dagobert L & Hartley, Peter R, 1995. "Consumer Rationality and Credit Cards," Journal of Political Economy, University of Chicago Press, vol. 103(2), pages 400-433, April. [Downloadable!] (restricted)
  5. Lee, Lung-fei & Maddala, G S & Trost, R P, 1980. "Asymptotic Covariance Matrices of Two-Stage Probit and Two-Stage Tobit Methods for Simultaneous Equations Models with Selectivity," Econometrica, Econometric Society, vol. 48(2), pages 491-503, March. [Downloadable!] (restricted)
  6. Mester, Loretta J, 1994. "Why Are Credit Card Rates Sticky?," Economic Theory, Springer, vol. 4(4), pages 505-30, May.
    Other versions:
  7. Sydney Ludvigson, 1999. "Consumption And Credit: A Model Of Time-Varying Liquidity Constraints," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 434-447, August. [Downloadable!] (restricted)
    Other versions:
  8. Deaton, Angus, 1991. "Saving and Liquidity Constraints," Econometrica, Econometric Society, vol. 59(5), pages 1221-48, September. [Downloadable!] (restricted)
    Other versions:
  9. David B. Gross & Nicholas S. Souleles, 2002. "Do Liquidity Constraints And Interest Rates Matter For Consumer Behavior? Evidence From Credit Card Data," The Quarterly Journal of Economics, MIT Press, vol. 117(1), pages 149-185, February. [Downloadable!] (restricted)
    Other versions:
  10. Sangkyun Park, 1997. "Option value of credit lines as an explanation of high credit card rates," Research Paper 9702, Federal Reserve Bank of New York. [Downloadable!]
  11. Edward Castronova & Paul Hagstrom, 2004. "The Demand for Credit Cards: Evidence from the Survey of Consumer Finances," Economic Inquiry, Oxford University Press, vol. 42(2), pages 304-318, April. [Downloadable!] (restricted)
Full references

Cited by:
(explanations, 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. Shubhasis Dey, 2005. "Lines of Credit and Consumption Smoothing: The Choice between Credit Cards and Home Equity Lines of Credit," Working Papers 05-18, Bank of Canada. [Downloadable!]
Statistics
Access and download statistics

Did you know? There are NEP reports in over 80 fields that deliver new research to your email.

This page was last updated on 2009-11-24.


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.