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Working Paper

Anatomy of a Fair-Lending Exam: The Uses and Limitations of Statistics

In this paper, we consider the role of statistical analysis in fair-lending compliance examinations. We present a case study of an actual fair-lending examination of a large mortgage lender, demonstrating how statistical techniques can be a valuable tool in focusing examiner efforts to either uncover illegal discrimination or exonerate an institution so accused. Importantly, our case also highlights the limitations of such statistical techniques. The study suggests that statistical analysis combined with comparative file review offer a balanced and thorough approach to enforcement of fair-lending laws.

Working Papers of the Federal Reserve Bank of Cleveland are preliminary materials circulated to stimulate discussion and critical comment on research in progress. They may not have been subject to the formal editorial review accorded official Federal Reserve Bank of Cleveland publications. The views expressed in this paper are those of the authors and do not represent the views of the Federal Reserve Bank of Cleveland or the Federal Reserve System.


Suggested Citation

Calem, Paul , and Stanley Longhofer. 2000. “Anatomy of a Fair-Lending Exam: The Uses and Limitations of Statistics.” Federal Reserve Bank of Cleveland, Working Paper No. 00-03R. https://doi.org/10.26509/frbc-wp-200003R