A Monte Carlo examination of bias tests in mortgage lending
AbstractAn exploration of the effectiveness of testing procedures in uncovering discrimination by mortgage lenders, reflecting perceived shortcomings in the scope of data provided by the Home Mortgage Disclosure Act, which indicates that the rejection rate for black mortgage applicants is much higher than for whites. The authors find that for plausible levels of bias, the sample size is critical, but that low levels of bias can be difficult to detect even with large sample sizes.
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Bibliographic InfoArticle provided by Federal Reserve Bank of Cleveland in its journal Economic Review.
Volume (Year): (1994)
Issue (Month): Q III ()
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- Munnell, Alicia H. & Geoffrey M. B. Tootell & Lynn E. Browne & James McEneaney, 1996.
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- David G. Blanchflower & Phillip B. Levine & David J. Zimmerman, 1998.
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NBER Working Papers
6840, National Bureau of Economic Research, Inc.
- David G. Blanchflower & Phillip B. Levine & David J. Zimmerman, 2003. "Discrimination in the Small-Business Credit Market," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 930-943, November.
- Jed L. DeVaro & Jeffrey M. Lacker, 1995. "Errors in variables and lending discrimination," Economic Quarterly, Federal Reserve Bank of Richmond, issue Sum, pages 19-32.
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