Under-specified Models and Detection of Discrimination: A Case Study of Mortgage Lending
This study examines how omitted variables affect underwriting models the OCC estimates during fair lending examinations. The purpose is to assess the effects of omitted variable bias common to most studies of discrimination in mortgage lending. The results show omitted variables have an important impact on both the estimate of the effect of race and on the identification of outliers for review. Further, there appears to be no consistent patterns to the direction of these impacts. This suggests that it is inappropriate to make generalizations concerning the direction of bias based on assumptions about correlations between omitted variables and race. Copyright Springer Science + Business Media, Inc. 2005
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Volume (Year): 31 (2005)
Issue (Month): 1 (August)
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- Stephen L. Ross & John Yinger, 2002. "The Color of Credit: Mortgage Discrimination, Research Methodology, and Fair-Lending Enforcement," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262182289.
- Mervyn A. King, 1980. "An econometric model of tenure choice and demand for housing as a joint decision," NBER Chapters, in: Econometric Studies in Public Finance, pages 137-159 National Bureau of Economic Research, Inc.
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- Mitchell Stengel & Dennis Glennon, 1999. "Evaluating Statistical Models of Mortgage Lending Discrimination: A Bank-Specific Analysis," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 27(2), pages 299-334.
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