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
Classifying Applicants for Fair Lending Analyses: What Do the Data Have to Say?

Classifying Applicants for Fair Lending Analyses: What Do the Data Have to Say?

Dietrich, Jason

Paperback

General Reference

ISBN10: 1505375614
ISBN13: 9781505375619
Publisher: Createspace
Published: Jan 1 2015
Pages: 74
Weight: 0.43
Height: 0.15 Width: 8.50 Depth: 11.02
Language: English
Testing for discrimination in mortgage lending requires classifying consumers into treatment groups and control groups. Although this may seem like a straightforward task, it is actually quite complicated. Home Mortgage Disclosure Act (HMDA) data, the primary source of data for these analyses, contain information on the ethnicity, race, and gender for both primary and coapplicants. In addition, applicants have the option of reporting up to five races. Using these detailed data to construct the standard groups, such as Black, Hispanic, and White, requires subjective decisions on how to appropriately aggregate applications.

Also in

General Reference

View All