What’s in a Score? Differences in Consumers’ Credit Knowledge Using OLS and Quantile Regressions
AbstractCredit 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.
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.
Bibliographic InfoPaper provided by Indiana State University, Scott College of Business, Networks Financial Institute in its series NFI Working Papers with number 2007-WP-01.
Length: 36 pages
Date of creation: Jan 2007
Date of revision:
Contact details of provider:
Postal: Postal: Federal Hall, 30 N. 7th St., Room 318, Terre Haute IN 47809
Web page: http://indstate.edu/business/nfi/
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.:
- Eide, Eric & Showalter, Mark H., 1998. "The effect of school quality on student performance: A quantile regression approach," Economics Letters, Elsevier, Elsevier, vol. 58(3), pages 345-350, March.
- Bedard, Kelly, 2003.
"School quality and the distribution of male earnings in Canada,"
Economics of Education Review, Elsevier,
Elsevier, vol. 22(4), pages 395-407, August.
- Kelly Bedard, . "School Quality and the Distribution of Male Earnings in Canada," Claremont Colleges Working Papers, Claremont Colleges 1999-13, Claremont Colleges.
- 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.
- Koenker,Roger, 2005.
Cambridge Books, Cambridge University Press,
Cambridge University Press, number 9780521608275.
- Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, American Economic Association, vol. 15(4), pages 143-156, Fall.
- Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, Cambridge University Press, number 9780521845731.
- Jesse Levin, 2001. "For whom the reductions count: A quantile regression analysis of class size and peer effects on scholastic achievement," Empirical Economics, Springer, Springer, vol. 26(1), pages 221-246.
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.