مورد إلكتروني

Using High-Frequency Evaluations to Estimate Discrimination

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