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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/, SHA-256 d69b42a67c1a1de2db40e0df16a983817b6281b69abbb7ad0b01611582b47ed9.

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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

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