فاصله وام گیرنده - وام دهنده، امتیازدهی اعتباری، و عملکرد وام: شواهدی از اطلاعاتی مات وام گیرندگان کسب و کار کوچک

Over the past decade, the distances between small businesses and their bank lenders have increased substantially, as increasing numbers of bank lenders have implemented credit-scoring models to evaluate the creditworthiness of small businesses. These developments are antithetical to the traditional small business lending process, which emphasizes local proximity, bank–borrower relationships, and qualitative information. We theoretically model and empirically test whether and how these changes have affected the probability that small business loans default, using 1984–2001 data from the SBA's flagship lending program. On average, both distance and credit scoring are associated with higher default probabilities—the former suggests that distance interferes with information collection, while the latter suggests that production efficiencies encourage credit-scoring lenders to expand output by making riskier loans at the margin. The default-increasing effects of distance are substantially dampened at credit scoring banks, however, suggesting that hard-information lending approaches may outperform soft-information, relationship-based lending approaches in long-distance situations.