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Race Differentials in the Credit Market Experiences of Small Business Owners

Improved Estimates

Published online by Cambridge University Press:  14 April 2023

Jeonghun Kim Open the ORCID record for Jeonghun Kim [Opens in a new window]
Jeonghun Kim*
Affiliation:
Truman School of Government and Public Affairs, University of Missouri, Columbia, MO, USA
*
Email: jk8r4@mail.missouri.edu
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Abstract

Small businesses employ more than half of the entire workforce, account for more than sixty percent of new jobs created in the United States, and are responsible for about fifty percent of private domestic gross product. It is noteworthy, however, that small business owners in credit markets, in particular minority owners, have difficulty in securing sources of capital for their business operation. The literature on credit market discrimination shows consistent results that can be interpreted as evidence that minority owners are discriminated against compared to their counterparts (i.e., White owners) in obtaining loans, which may be caused by lenders’ discrimination, although such behavior is prohibited under current fair-lending laws. This paper uses pooled cross-sectional data from the Survey of Small Business Finances (1993, 1998, and 2003) and a bivariate probit model based on James J. Heckman’s approach to deal with sample selection bias for those choosing to apply for loans. Those who didn’t apply for loans have been ignored in analyses of credit markets for small business owners. This paper adds to the small business lending market literature by 1) combining cross sectional data from the Survey of Small Business Finances (SSBF) for 1993, 1998, and 2003 to get more precise estimates and test statistics with more power; 2) conducting regression analyses with different model specifications to show the robustness of the empirical results; and 3) dealing directly with problems of sample selection based on Heckman’s approach with particular attention to the assumptions required to justify the identification of the effect (i.e., exclusion restrictions).

The analysis confirms previous results, suggesting that minority owners are discriminated against in credit markets. These conclusions are supported in a variety of model specifications.

Keywords

Lending Market DiscriminationSmall BusinessSelection BiasHeckman CorrectionExclusion Restriction
Type
State of the Art
Information
Du Bois Review: Social Science Research on Race , Volume 20 , Issue 2 , Fall 2023 , pp. 353 - 370
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the Hutchins Center for African and African American Research

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