التفاصيل البيبلوغرافية
العنوان: |
Using High-Frequency Evaluations to Estimate Discrimination : Evidence from Mortgage Loan Officers |
المؤلفون: |
Giacoletti, Marco |
المساهمون: |
Heimer, Rawley (VerfasserIn); Yu, Edison G. (VerfasserIn) |
المصدر: |
2021 |
الناشر: |
[S.l.]: SSRN |
اللغة: |
English |
نوع الوثيقة: |
Elektronische Ressource im Fernzugriff |
Manifestation: |
Monographie [unabhängig ob Stück einer Reihe] |
مستخلص: |
We develop tests for discrimination that we apply to 25 years of mortgage lending. Our tests limit the scope for omitted variables in a conventional benchmarking test by combining high-frequency mortgage evaluations with the notion that economic incentives can mitigate subjective biases. Loan officers have monthly volume quotas that constrain their subjectivity on loans processed at month-end. Concurrently, applicant characteristics are time-invariant within-month. We estimate that loan officers’ subjectivity contributes to at least half of the unexplained Black approval gap. The within-month approval gap is smaller for shadow banks, but not for FinTech lenders or banks in concentrated markets |
DOI: |
10.2139/ssrn.3795547 |
رقم الأكسشن: |
EDSZBW1806389401 |
قاعدة البيانات: |
ECONIS |