A Monte Carlo examination of bias tests in mortgage lending
An 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.
Volume (Year): (1994)
Issue (Month): Q III ()
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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.:
- Robert B. Avery & Patricia E. Beeson & Mark S. Sniderman, 1993. "Lender consistency in housing credit markets," Working Paper 9309, Federal Reserve Bank of Cleveland.
- Munnell, Alicia H. & Geoffrey M. B. Tootell & Lynn E. Browne & James McEneaney, 1996.
"Mortgage Lending in Boston: Interpreting HMDA Data,"
American Economic Review,
American Economic Association, vol. 86(1), pages 25-53, March.
- Alicia H. Munnell, 1992. "Mortgage lending in Boston: interpreting HMDA data," Working Papers 92-7, Federal Reserve Bank of Boston.
- Robert B. Avery & Patricia E. Beeson & Mark S. Sniderman, 1993. "Lender consistency in housing credit markets," Proceedings 417, Federal Reserve Bank of Chicago.
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