Reducing Racial Disparities in Consumer Credit: Evidence from Anonymous Loan Applications

66 Pages Posted: 24 Feb 2023 Last revised: 31 Oct 2024

See all articles by Poorya Kabir

Poorya Kabir

National University of Singapore - Department of Finance

Tianyue Ruan

National University of Singapore (NUS) - Department of Finance

Date Written: November 7, 2023

Abstract

We examine a unique experiment of anonymizing online loan applications to test whether race-blind screening procedures reduce racial disparities in consumer credit. With names on applications, minority applicants are 10% less likely to receive online loan offers and receive worse offer terms than otherwise identical majority applicants. Anonymizing applications reduces such disparities substantially. High-income minority applicants benefit more than low-income minorities. We show that the racial disparities are not driven by differences in credit demand. Overall, anonymous loan applications reduce racial disparities in access to credit by increasing lender reliance on objective credit risk measures.

Keywords: JEL Classification: D63, G21, J15, J71, O16 consumer credit, fair lending, racial discrimination, anonymity, privacy

JEL Classification: D63, G21, J15, J71, O16

Suggested Citation

Kabir, Poorya and Ruan, Tianyue, Reducing Racial Disparities in Consumer Credit: Evidence from Anonymous Loan Applications (November 7, 2023). Available at SSRN: https://ssrn.com/abstract=4364852 or http://dx.doi.org/10.2139/ssrn.4364852

Poorya Kabir (Contact Author)

National University of Singapore - Department of Finance ( email )

Tianyue Ruan

National University of Singapore (NUS) - Department of Finance ( email )

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