What’s in a Score? Differences in Consumers’ Credit Knowledge Using OLS and Quantile Regressions
Credit literacy depends, in part, on understanding credit report information and scores. The US Government Accountability Office (GAO) conducted a study in 2004 to assess consumers’ knowledge of their credit report and credit score, and the dispute resolution process. This study uses the GAO data and estimates a series of OLS and quantile regressions to identify specific subgroups of the population that could benefit from more targeted consumer policies and financial education. The findings from this research have important implications for consumer educators, financial professionals, and policymakers, especially with respect to national strategies designed to improve consumers’ financial well-being.
|Date of creation:||Jan 2007|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://indstate.edu/business/nfi/Email:
More information through EDIRC
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.:
- Bedard, Kelly, 2003.
"School quality and the distribution of male earnings in Canada,"
Economics of Education Review,
Elsevier, vol. 22(4), pages 395-407, August.
- Kelly Bedard, . "School Quality and the Distribution of Male Earnings in Canada," Claremont Colleges Working Papers 1999-13, Claremont Colleges.
- Eide, Eric & Showalter, Mark H., 1998. "The effect of school quality on student performance: A quantile regression approach," Economics Letters, Elsevier, vol. 58(3), pages 345-350, March.
- Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
- Jesse Levin, 2001. "For whom the reductions count: A quantile regression analysis of class size and peer effects on scholastic achievement," Empirical Economics, Springer, vol. 26(1), pages 221-246.
- Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
When requesting a correction, please mention this item's handle: RePEc:nfi:nfiwps:2007-wp-01. 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: (Ray Thomas)
If references are entirely missing, you can add them using this form.