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 applic...
We extract an exogenous measure of gender bias from survey responses by descendants of U.S. immigran...
In this paper we study the relevance of the gender of the contracting parties involved in lending. W...
We analyze gender differences associated with loan officer performance. Using a unique data set for ...
Previous research provides unequivocal evidence that women-owned businesses start with both lower le...
Previous research provides unequivocal evidence that women-owned businesses start with both lower le...
Previous research provides unequivocal evidence that women-owned businesses start with both lower le...
In this paper we study the relevance of the gender of the contracting parties involved in lending. W...
Previous research provides unequivocal evidence that women-owned businesses start with both lower le...
Abstract: We exploit the quasi-random assignment of borrowers to loan officers using data from a lar...
In this paper we study the relevance of the gender of the contracting parties involved in lending. W...
Abstract: We exploit the quasi-random assignment of borrowers to loan officers using data from a lar...
Using a unique data set for a commercial bank in Albania, we analyze gender differences in loan offi...
Note: This Working Paper should not be reported as representing the views of the European Central Ba...
While women are undoubtedly disadvantaged in the process of preparing for a career in business owner...
We measure the quality of applications for online peer-to-peer lending in Germany and relate it to g...
We extract an exogenous measure of gender bias from survey responses by descendants of U.S. immigran...
In this paper we study the relevance of the gender of the contracting parties involved in lending. W...
We analyze gender differences associated with loan officer performance. Using a unique data set for ...
Previous research provides unequivocal evidence that women-owned businesses start with both lower le...
Previous research provides unequivocal evidence that women-owned businesses start with both lower le...
Previous research provides unequivocal evidence that women-owned businesses start with both lower le...
In this paper we study the relevance of the gender of the contracting parties involved in lending. W...
Previous research provides unequivocal evidence that women-owned businesses start with both lower le...
Abstract: We exploit the quasi-random assignment of borrowers to loan officers using data from a lar...
In this paper we study the relevance of the gender of the contracting parties involved in lending. W...
Abstract: We exploit the quasi-random assignment of borrowers to loan officers using data from a lar...
Using a unique data set for a commercial bank in Albania, we analyze gender differences in loan offi...
Note: This Working Paper should not be reported as representing the views of the European Central Ba...
While women are undoubtedly disadvantaged in the process of preparing for a career in business owner...
We measure the quality of applications for online peer-to-peer lending in Germany and relate it to g...
We extract an exogenous measure of gender bias from survey responses by descendants of U.S. immigran...
In this paper we study the relevance of the gender of the contracting parties involved in lending. W...
We analyze gender differences associated with loan officer performance. Using a unique data set for ...