Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Searching for an Optimal Strategy for Identifying Files to Review for Fair Lending Exams

Searching for an Optimal Strategy for Identifying Files to Review for Fair Lending Exams

Dietrich, Jason

Paperback

General Reference

ISBN10: 1505309018
ISBN13: 9781505309010
Publisher: Createspace
Published: Dec 31 2014
Pages: 42
Weight: 0.27
Height: 0.09 Width: 8.50 Depth: 11.02
Language: English
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.

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