Automation and Racial Disparities in Small Business Lending PDF Download
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Author: Sabrina T. Howell
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Languages : en
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Book Description
Author: Sabrina T. Howell
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Sabrina T. Howell
Publisher:
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Category :
Languages : en
Pages : 0
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Book Description
By enabling smaller loans, broader geographic reach, and less human bias in decision-making, process automation may reduce racial disparities in access to financial services. We find evidence for all three channels using a setting where private lenders faced no credit risk but decided who to serve: the Paycheck Protection Program (PPP), which provided loans to small businesses during COVID-19. Black-owned firms disproportionately obtained their PPP loans from fintech lenders, especially in areas with high racial animus. After traditional banks automate their loan application processes, their PPP lending to Black-owned businesses increases. Our findings cannot be fully explained by racial differences in loan application behaviors, pre-existing banking relationships, contemporaneous firm performance, or fraud rates.
Author: Sabrina T. Howell
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Languages : en
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In the Paycheck Protection Program (PPP), private lenders distributed federally guaranteed (and thus risk-free) COVID-19 relief loans to small businesses. Black-owned firms disproportionately obtained their PPP loans from fintech lenders, especially in areas with high racial animus. Automation in lending processes at fintechs plays an important role in explaining this disparity, in part by reducing opportunities for racial discrimination. Consistent with this mechanism, after traditional banks automate their loan application processes, their PPP lending to Black-owned businesses increases. Our findings cannot be fully explained by racial differences in loan application behaviors, pre-existing banking relationships, contemporaneous firm performance, or fraud rates.
Author: Sabrina T. Howell
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Languages : en
Pages : 0
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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.
Author: Sabrina T. Howell
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ISBN:
Category : Discrimination in commercial loans
Languages : en
Pages : 84
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We explore the sources of racial disparities in small business lending by studying the $806 billion Paycheck Protection Program (PPP), which was designed to support small business jobs during the COVID-19 pandemic. PPP loans were administered by private lenders but federally guaranteed, largely eliminating unobservable credit risk as a factor in explaining differential lending by race. We document that even after controlling for a firm's zip code, industry, loan size, PPP approval date, and other characteristics, Black-owned businesses were 12.1 percentage points (70% of the mean) more likely to obtain their PPP loan from a fintech lender than a traditional bank. Among conventional lenders, smaller banks were much less likely to lend to Black-owned firms, while the Top-4 banks exhibited little to no disparity after including controls. We use novel data to show that the disparity is not primarily explained by differences in pre-existing bank or credit relationships, firm financial positions, fintech affinity, borrower application behavior, or racial differences in rates of fraudulent PPP applications. In contrast, we document that Black-owned businesses' higher rate of borrowing from fintechs compared to smaller banks is particularly large in places with high anti-Black racial animus, pointing to a potential role for discrimination in explaining some of the racial disparities in small business lending. We find evidence that when small banks automate their lending processes, and thus reduce human involvement in the loan origination process, their rate of PPP lending to Black-owned businesses increases, with larger effects in places with more racial animus.
Author: Sergey Chernenko
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Languages : en
Pages : 0
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We use the 2020 Small Business Credit Survey to study the sources of racial disparities in use of the Paycheck Protection Program (PPP). Black-owned firms are 8.9 percentage points less likely than observably similar white-owned firms to receive PPP loans. About 55% of this take-up disparity is attributable to a disparity in application propensity, while the remainder is attributable to a disparity in approval rates. The finding in prior research that Black-owned PPP recipients are less likely than white-owned recipients to borrow from banks and more likely to borrow from fintech lenders is driven entirely by application behavior. Conditional on applying for a PPP loan, Black-owned firms are 9.9 percentage points less likely than white-owned firms to apply to banks and 7.8 percentage points more likely to apply to fintechs. However, they face similar average approval disparities at banks (7.4 percentage points) and fintechs (8.4 percentage points). Sorting by Black-owned firms away from banks and towards fintechs is significantly stronger in more racially biased counties, and the bank approval disparity is also larger in more racially biased counties. We conclude that insofar as automation by fintechs reduces racial disparities in PPP take-up, it does so by mitigating disparities in loan application rates, not loan approval rates.
Author: Sabrina T. Howell
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Category :
Languages : en
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Author: Naranchimeg Mijid
Publisher:
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Category :
Languages : en
Pages : 33
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Book Description
In this paper, we use the Blinder-Oaxaca method for nonlinear models to decompose observed differences in credit rationing of small businesses between white- and minority-owned firms in the USA. We utilize a representative dataset of small businesses from the Survey of Small Business Finances between 1987 and 2003. Our results show that minority owners, on average, have about a 24 percentage points higher loan denial rate than white-owned firms and about three quarters of the difference is attributed to discrimination in bank lending. Although the difference in the probability of getting a smaller loan than requested is only 5 percentage points, this difference is almost entirely attributed to discrimination.
Author: United States. Congress. House. Committee on Banking, Finance, and Urban Affairs. Subcommittee on Financial Institutions Supervision, Regulation, and Deposit Insurance
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Category : Business & Economics
Languages : en
Pages : 330
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Distributed to some depository libraries in microfiche.
Author: Marcus Powell
Publisher: Nova Science Publishers
ISBN: 9781624174827
Category : Federal aid to small business
Languages : en
Pages : 0
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The SSBCI provides funding to states, territories, and eligible municipalities to expand existing or to create new state small business investment programs, including state capital access programs, collateral support programs, loan participation programs, loan guarantee programs, and venture capital programs. This book examines the SSBCI and its implementation, including Treasury's response to initial program audits conducted by the U.S. Government Accountability Office and Treasury's Office of Inspector General. These audits suggested that SSBCI participants were generally complying with the statute's requirements, but that some compliance problems existed, in that, the Treasury's oversight of the program could be improved; and performance measures were needed to assess the program's efficacy.
