Statistical Analysis and Modeling for Fair Lending and Compliance: The OCC’s Perspective

Mark Pocock, Irene Fang and Jason Dietrich

Chapter Chapter 16 in Household Credit Usage, 2007, pp 269-284 from Palgrave Macmillan

Abstract: Abstract In 1989, the Home Mortgage Disclosure Act (HMDA) was modified to require lenders to gather and report data on applicants’ race and gender. This data created opportunities for banking regulators to incorporate statistical techniques into analyses of disparate treatment during fair lending exams. Statistics provide an objective and efficient approach to identifying patterns in large volumes of data. Results from these analyses can be used to draw conclusions about disparate treatment as well as to identify areas of higher fair lending risk needing more thorough review. Overall, statistics have been an important complement to traditional manual file reviews during fair lending exams.

Keywords: Rate Spread; Price Decision; Mortgage Market; Denial Rate; Disparate Treatment (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:pal:palchp:978-0-230-60891-7_16

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DOI: 10.1057/9780230608917_16

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