Lender Automation and Racial Disparities in Credit Access
Process automation reduces racial disparities in credit access through enabling smaller loans, broadening banks’ geographic reach, and removing human biases from decision-making. We document these findings in the context of the Paycheck Protection Program (PPP), a setting where private lenders faced no credit risk but decided which firms to serve. Black-owned firms primarily obtained PPP loans from automated fintech lenders, especially in areas with high racial animus. After traditional banks automated their loan processing procedures, their PPP lending to Black-owned firms increased. Our findings cannot be fully explained by racial differences in loan application behaviors, pre-existing banking relationships, firm performance, or fraud rates.
Non-Technical Summaries
- Black-owned businesses were least likely to receive Paycheck Protection Program loans from small and mid-sized banks, where...
Published Versions
SABRINA T. HOWELL & THERESA KUCHLER & DAVID SNITKOF & JOHANNES STROEBEL & JUN WONG, 2024. "Lender Automation and Racial Disparities in Credit Access," The Journal of Finance, vol 79(2), pages 1457-1512.