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Discriminatory Lending: Evidence from Bankers in the Lab

Michelle Brock and Ralph De Haas ()

No 14340, CEPR Discussion Papers from C.E.P.R. Discussion Papers

Abstract: We implement a lab-in-the-field experiment with 334 Turkish loan officers to document gender discrimination in small business lending and to unpack the mechanisms at play. Each officer reviews multiple real-life loan applications in which we randomize the applicant's gender. While unconditional approval rates are the same for male and female applicants, loan officers are 26 percent more likely to require a guarantor when we present the same application as coming from a female instead of a male entrepreneur. A causal forest algorithm to estimate heterogeneous treatment effects reveals that this discrimination is strongly concentrated among young, inexperienced, and gender-biased loan officers. Discrimination mainly affects female loan applicants in male-dominated industries, indicating how financial frictions can perpetuate entrepreneurial gender segregation across sectors.

Keywords: Bank credit; Causal Forest; Gender bias; implicit association test; lab-in-the-field (search for similar items in EconPapers)
JEL-codes: D81 D83 D91 G21 (search for similar items in EconPapers)
Date: 2020-01
New Economics Papers: this item is included in nep-exp and nep-gen
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Working Paper: Discriminatory Lending: Evidence from Bankers in the Lab (2021) Downloads
Working Paper: Discriminatory Lending: Evidence from Bankers in the Lab (2021) Downloads
Working Paper: Discriminatory Lending: Evidence from Bankers in the Lab (2021) Downloads
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