Abstract
We implement a lab-in-the-field experiment with 334 Turkish loan officers to document gender discrimination in small business lending and unpack mechanisms. Officers review multiple real-life loan applications in which we randomize applicant gender. While unconditional approval rates are the same, 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 discrimination is concentrated among young, inexperienced, and gender-biased officers. Discrimination mainly affects female loan applicants in male-dominated industries, indicating how financial frictions can perpetuate entrepreneurial gender segregation across sectors. (JEL C93, G21, G32, J16, L25, L26, O16)
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