Searching for an optimal strategy  for identifying files to review for fair lending exams
By: by Jason Dietrich.
Contributors: United States. Office of the Comptroller of the Currency.
Series: Economic and policy analysis working paper -- 2005-3; Economic and policy analysis working paper (2000 : Online) -- 2005-3.
Publisher: Office of the Comptroller of the Currency
Published: 2005
Place of publication: Washington, DC
Language: eng
Format: Electronic resource
Description: "A manual review of applications is an important component of statistically modeled fair lending exams. How files to review are identified affect both resource allocation and reliability of conclusions. This study uses Monte Carlo simulation to compare how six outlier identification strategies perform at identifying disadvantaged applicants. The results show that the optimal strategy for minimizing cost and maximizing reliability of conclusions depends on the likelihood and severity of disadvantage. Further, none of the strategies are highly successful at identifying disadvantaged applicants or minimizing the number of non-disadvantaged applicants reviewed"--Office of the Comptroller of the Currency web site.
Notes: Title from PDF file as viewed on 4/12/2007.

Includes bibliographical references.

Also available in print.

System requirements: Adobe Acrobat Reader.

Mode of access: World Wide Web.