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The effect of credit scoring on small business lending in low- and moderate-income areas

Author

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  • W. Scott Frame
  • Michael Padhi
  • Lynn W. Woosley

Abstract

This paper empirically examines the effect of the use of credit scoring by large banking organizations on small business lending in low- and moderate-income (LMI) areas. Using census tract level data for the southeastern United States, the authors estimate that credit scoring increases small business lending by $16.4 million per LMI area served. Furthermore, this effect is almost 2.5 times larger than that estimated for higher income census tracts ($6.8 million). The authors also find that credit scoring increases the probability that a large banking organization will make small business loans in a given census tract. The change in this probability is 3.8 percent for LMI areas and 1.7 percent for higher income areas. These findings suggest that credit scoring reduces asymmetric information problems for borrowers and lenders and that this is particularly important for LMI areas, which lenders may have historically bypassed because of their questionable economic health.

Suggested Citation

  • W. Scott Frame & Michael Padhi & Lynn W. Woosley, 2001. "The effect of credit scoring on small business lending in low- and moderate-income areas," FRB Atlanta Working Paper 2001-6, Federal Reserve Bank of Atlanta.
  • Handle: RePEc:fip:fedawp:2001-6
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Ben R. Craig & William E. Jackson & James B. Thomson, 2007. "On government intervention in the small-firm credit market and its effect on economic performance," Working Paper 0702, Federal Reserve Bank of Cleveland.
    2. Pankaj Kumar Gupta & Sandeepa Kaur, 2015. "Credit Rating Framework for Financing of SMEs in India and role of central bank," Proceedings of Business and Management Conferences 3005373, International Institute of Social and Economic Sciences.
    3. Cerqueiro, Geraldo & Degryse, Hans & Ongena, Steven, 2011. "Rules versus discretion in loan rate setting," Journal of Financial Intermediation, Elsevier, vol. 20(4), pages 503-529, October.
    4. Berger, Allen N & Frame, W Scott & Miller, Nathan H, 2005. "Credit Scoring and the Availability, Price, and Risk of Small Business Credit," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(2), pages 191-222, April.
    5. Ono, Arito & Hasumi, Ryo & Hirata, Hideaki, 2014. "Differentiated use of small business credit scoring by relationship lenders and transactional lenders: Evidence from firm–bank matched data in Japan," Journal of Banking & Finance, Elsevier, vol. 42(C), pages 371-380.
    6. Degryse, H.A. & Cerqueiro, G.M. & Ongena, S., 2007. "Distance, Bank Organizational Structure and Credit," Discussion Paper 2007-018, Tilburg University, Tilburg Law and Economic Center.
    7. Ben R. Craig & William E. Jackson, III & James B. Thomson, 2007. "Does government intervention in the small-firm credit market help economic performance?," Policy Discussion Papers, Federal Reserve Bank of Cleveland, issue Aug.
    8. Beck, Thorsten & Chen, Tao & Lin, Chen & Song, Frank M., 2016. "Financial innovation: The bright and the dark sides," Journal of Banking & Finance, Elsevier, vol. 72(C), pages 28-51.
    9. Giacinto Micucci & Paola Rossi, 2010. "Debt restructuring and the role of lending technologies," Temi di discussione (Economic working papers) 763, Bank of Italy, Economic Research and International Relations Area.
    10. repec:vpr:ecbook:373 is not listed on IDEAS
    11. Haifang Huang & Eric Stephens, 2015. "From housing bust to credit crunch: Evidence from small business loans," Canadian Journal of Economics, Canadian Economics Association, vol. 48(3), pages 853-880, August.
    12. W. Scott Frame & Lawrence J. White, 2009. "Technological Change, Financial Innovation, and Diffusion in Banking," Working Papers 09-03, New York University, Leonard N. Stern School of Business, Department of Economics.
    13. Yehning Chen & Rachel Huang & John Tsai & Larry Tzeng, 2015. "Soft Information and Small Business Lending," Journal of Financial Services Research, Springer;Western Finance Association, vol. 47(1), pages 115-133, February.
    14. repec:eee:intfin:v:50:y:2017:i:c:p:98-118 is not listed on IDEAS
    15. Beck, Thorsten & de Haas, Ralph & Degryse, Hans & Van Horen, Neeltje, 2014. "When Arm’s Length Is Too Far. Relationship Banking over the Business Cycle," CEPR Discussion Papers 10050, C.E.P.R. Discussion Papers.
    16. W. Scott Frame & Lawrence J. White, 2004. "Empirical Studies of Financial Innovation: Lots of Talk, Little Action?," Journal of Economic Literature, American Economic Association, vol. 42(1), pages 116-144, March.
    17. Dorfleitner, G. & Just-Marx, S. & Priberny, C., 2017. "What drives the repayment of agricultural micro loans? Evidence from Nicaragua," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 89-100.
    18. Allen N. Berger & Adrian M. Cowan & W. Scott Frame, 2009. "The surprising use of credit scoring in small business lending by community banks and the attendant effects on credit availability and risk," FRB Atlanta Working Paper 2009-09, Federal Reserve Bank of Atlanta.
    19. Berger, Allen N. & Goulding, William & Rice, Tara, 2014. "Do small businesses still prefer community banks?," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 264-278.
    20. Ding, Shujun & Jia, Chunxin & Wu, Zhenyu & Yuan, Wenlong, 2017. "Limited attention by lenders and small business debt financing: Advertising as attention grabber," International Review of Financial Analysis, Elsevier, vol. 49(C), pages 69-82.

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    Keywords

    Credit scoring systems ; Bank loans ; Commercial loans ; Small business;

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