Lender Automation and Racial Disparities: SSRN working paper
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SSRN page for the working paper Lender Automation and Racial Disparities in Credit Access (92 pages, posted 11 Oct 2021, last revised 21 Nov 2022) by Sabrina T Howell, Theresa Kuchler, David Snitkof, Johannes Stroebel and Jun Wong. The abstract says process automation reduces racial disparities in credit access through smaller loans, broader geographic reach and removal of human biases, documented in the Paycheck Protection Program. It says Black-owned firms primarily obtained PPP loans from automated fintech lenders, especially in areas with high racial animus, and that PPP lending to Black-owned firms increased after traditional banks automated their loan processing.
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“Lender Automation and Racial Disparities: SSRN working paper.”
Original at papers.ssrn.com. Archived at Pandemic Darlings on 2026-09-29, https://pandemicdarlings.com/source-documents/ssrn-3939384-lender-automation-chrome-225fa6cd1b/
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Download This Paper Open PDF in Browser Add Paper to My Library Share: Permalink Using these links will ensure access to this page indefinitely Copy URL Copy DOI Lender Automation and Racial Disparities in Credit Access 92 Pages Posted: 11 Oct 2021 Last revised: 21 Nov 2022 See all articles by Sabrina T Howell Sabrina T Howell Harvard Business School; National Bureau of Economic Research (NBER) Theresa Kuchler New York University (NYU) David Snitkof Ocrolus Johannes Stroebel New York University (NYU) - Leonard N. Stern School of Business; National Bureau of Economic Research (NBER); Centre for Economic Policy Research (CEPR) Jun Wong New York University (NYU) Date Written: November 11, 2022 Abstract 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. Keywords: Fintech, Automation, Small business loans, racial discrimination, PPP JEL Classification: G21, G23, G28, G41, J15 Suggested Citation: Suggested Citation Howell, Sabrina T and Kuchler, Theresa and Snitkof, David and Stroebel, Johannes and Wong, Jun, Lender Automation and Racial Disparities in Credit Access (November 11, 2022). Available at SSRN: https://ssrn.com/abstract=3939384 or http://dx.doi.org/10.2139/ssrn.3939384 Sabrina T Howell (Contact Author) Harvard Business School ( email ) National Bureau of Economic Research (NBER) ( email ) 1050 Massachusetts Avenue Cambridge, MA 02138 United States Theresa Kuchler New York University (NYU) ( email ) Bobst Library, E-resource Acquisitions 20 Cooper Square 3rd Floor New York, NY 10003-711 United States David Snitkof Ocrolus ( email ) 101 Greenwich St New York, NY 10006 United States Johannes Stroebel New York University (NYU) - Leonard N. Stern School of Business ( email ) 44 West 4th Street Suite 9-160 New York, NY NY 10012 United States National Bureau of Economic Research (NBER) ( email ) 1050 Massachusetts Avenue Cambridge, MA 02138 United States Centre for Economic Policy Research (CEPR) ( email ) London United Kingdom Jun Wong New York University (NYU) ( email ) Bobst Library, E-resource Acquisitions 20 Cooper Square 3rd Floor New York, NY 10003-711 United States Download This Paper Open PDF in Browser Do you have a job opening that you would like to promote on SSRN? 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