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  • FT50 UTD24 A*

    We test for gender bias in promotions at financial institutions using two central predictions of Becker’s (1957, 1993) model: firms with bias will (1) raise the promotion bar for marginally promoted female workers, and (2) incur costs from forgoing efficient employment practices. We find support for both of these predictions using a new nationwide panel of mortgage loan officers and their managers encompassing approximately 72,000 workers from over 1,000 shadow banks from 2014 to 2019. Overall, our findings provide evidence that gender bias is an important factor in gender gaps at financial institutions.

  • FT50 UTD24 A*

    We document racial disparities in auto lending. Combining credit bureau records with borrower characteristics, we find that Black and Hispanic applicants' approval rates are 1.5 percentage points lower, even after controlling for creditworthiness. In aggregate, this effect crowds out 80,000 minority loans each year. Results are stronger where racial biases are more prevalent and lending competition is lower. Minority borrowers pay 70-basis-point higher interest rates, but default less ceteris paribus, consistent with racial bias rather than statistical discrimination. A major antidiscrimination enforcement policy initiated in 2013, but halted in 2018, reduced unexplained racial differences in interest rates by 60%. © 2022 The Author(s).

Last update from database: 9/16/24, 10:02 PM (AEST)

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