A Monte Carlo Examination of Bias Tests in Mortgage Lending
研究了检验程序在揭示抵押贷款歧视中的有效性，发现样本量对检测偏见至关重要，但低水平偏见即使大样本也难以发现。
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.