A Review of Statistical Problems in the Measurement of Mortgage Market Discrimination and Credit Risk

56 Pages Posted: 29 Sep 2010 Last revised: 12 Oct 2010

Anthony M. Yezer

George Washington University - Department of Economics

Date Written: September 28, 2010

Abstract

This paper examines the fundamental assumptions within the statistical analysis of discrimination and credit risk and the impact these flawed models had on the mortgage market ranging from false findings of discrimination to incorrectly detecting the future rise of default rates. Serving as a valuable resource to identify the flaws that continue to be overlooked in today's analyses, the paper promotes the improvement of the measurement of mortgage market discrimination and credit risk for a more accurate assessment.

Keywords: Fair lending, Mortgage credit risk, Simultaneous equations bias, Omitted variables

Suggested Citation

Yezer, Anthony M., A Review of Statistical Problems in the Measurement of Mortgage Market Discrimination and Credit Risk (September 28, 2010). Available at SSRN: https://ssrn.com/abstract=1684216 or http://dx.doi.org/10.2139/ssrn.1684216

Anthony M. Yezer (Contact Author)

George Washington University - Department of Economics ( email )

Monroe Hall, Suite 340
2115 G Street, NW
Washington, DC 20052
United States

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