Lender Automation and Racial Disparities: Journal of Finance
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Volume 79, Issue 2 p. 1457-1512 ARTICLE Lender Automation and Racial Disparities in Credit Access SABRINA T. HOWELL , Corresponding Author SABRINA T. HOWELL Correspondence: Sabrina Howell, Stern School of Business, New York University, Kaufman Management Center, 44 West Fourth Street, New York, NY 10012; e-mail: [email protected] . Search for more papers by this author THERESA KUCHLER , THERESA KUCHLER Search for more papers by this author DAVID SNITKOF , DAVID SNITKOF Search for more papers by this author JOHANNES STROEBEL , JOHANNES STROEBEL Search for more papers by this author JUN WONG , JUN WONG Sabrina T. Howell, Theresa Kuchler, and Johannes Stroebel are with NYU Stern and NBER. David Snitkof is with Ocrolus. Jun Wong is with the University of Chicago. This paper subsumes results in an earlier note from December 2020 titled “Which lenders had the highest minority share among their Payment Protection Program (PPP) loans?” We are grateful to Georgij Alekseev, Sara Gong, and Cangyuan Li for superb research assistance, and to Enigma, Middesk, Lendio, Biz2Credit, and Ocrolus for sharing part of their data. In particular, we thank Scott Monaco at Ocrolus for his insights and analytical work. We are also grateful for help from Sriya Anbil, Rohit Arora, Venkatesh Bala, Brock Blake, Katherine Chandler, Christine Dobridge, Kyle Mack, Karen Mills, David Musto, Hicham Oudghiri, Madeline Ross, Kurt Ruppel, and Sam Taussig. We thank seminar and conference participants at the NBER, the AFA Meetings, Cornell, Chicago Booth, Princeton, Maryland Smith, Arizona State University, the Government Accountability Office, Northeastern University, the Boston Fed, the Virtual Corporate Finance Seminar, NYU, the NY State Department of Financial Services, and University of Georgia as well as Michael Faulkender and the reviewing team at The Journal of Finance (Editor Amit Seru, as well as an associate editor and multiple anonymous referees) for their helpful comments. Howell's work on this project is funded by the Kauffman Foundation. Snitkof is an employee and Howell an unpaid contractor at Ocrolus, which provided some data for the project. We have read The Journal of Finance 's disclosure policy and have no further conflicts of interest to disclose. Search for more papers by this author SABRINA T. HOWELL , Corresponding Author SABRINA T. HOWELL Correspondence: Sabrina Howell, Stern School of Business, New York University, Kaufman Management Center, 44 West Fourth Street, New York, NY 10012; e-mail: [email protected] . Search for more papers by this author THERESA KUCHLER , THERESA KUCHLER Search for more papers by this author DAVID SNITKOF , DAVID SNITKOF Search for more papers by this author JOHANNES STROEBEL , JOHANNES STROEBEL Search for more papers by this author JUN WONG , JUN WONG Sabrina T. Howell, Theresa Kuchler, and Johannes Stroebel are with NYU Stern and NBER. David Snitkof is with Ocrolus. Jun Wong is with the University of Chicago. This paper subsumes results in an earlier note from December 2020 titled “Which lenders had the highest minority share among their Payment Protection Program (PPP) loans?” We are grateful to Georgij Alekseev, Sara Gong, and Cangyuan Li for superb research assistance, and to Enigma, Middesk, Lendio, Biz2Credit, and Ocrolus for sharing part of their data. In particular, we thank Scott Monaco at Ocrolus for his insights and analytical work. We are also grateful for help from Sriya Anbil, Rohit Arora, Venkatesh Bala, Brock Blake, Katherine Chandler, Christine Dobridge, Kyle Mack, Karen Mills, David Musto, Hicham Oudghiri, Madeline Ross, Kurt Ruppel, and Sam Taussig. We thank seminar and conference participants at the NBER, the AFA Meetings, Cornell, Chicago Booth, Princeton, Maryland Smith, Arizona State University, the Government Accountability Office, Northeastern University, the Boston Fed, the Virtual Corporate Finance Seminar, NYU, the NY State Department of Financial Services, and University of Georgia as well as Michael Faulkender and the reviewing team at The Journal of Finance (Editor Amit Seru, as well as an associate editor and multiple anonymous referees) for their helpful comments. Howell's work on this project is funded by the Kauffman Foundation. Snitkof is an employee and Howell an unpaid contractor at Ocrolus, which provided some data for the project. We have read The Journal of Finance 's disclosure policy and have no further conflicts of interest to disclose. Search for more papers by this author First published: 11 December 2023 https://doi.org/10.1111/jofi.13303 Citations: 9 ABSTRACT Process automation reduces racial disparities in credit access by 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), where private lenders faced no credit risk but decided which firms to serve. Black-owned firms obtained PPP loans primarily 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, preexisting banking relationships, firm performance, or fraud rates. Supporting Information REFERENCES Citing Literature Volume 79 , Issue 2 April 2024 Pages 1457-1512 Close Figure Viewer Previous Figure Next Figure Caption Download PDF
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