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Lender Automation and Racial Disparities in Credit Access.

Authors :
HOWELL, SABRINA T.
KUCHLER, THERESA
SNITKOF, DAVID
STROEBEL, JOHANNES
WONG, JUN
Source :
Journal of Finance (John Wiley & Sons, Inc.); Apr2024, Vol. 79 Issue 2, p1457-1512, 56p
Publication Year :
2024

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00221082
Volume :
79
Issue :
2
Database :
Complementary Index
Journal :
Journal of Finance (John Wiley & Sons, Inc.)
Publication Type :
Academic Journal
Accession number :
176077891
Full Text :
https://doi.org/10.1111/jofi.13303