Using a large sample of establishments drawn from the Multi-City Study of Urban Inequality (MCSUI) employer survey, we study gender differences in promotion rates and in the wage gains attached to promotions. Several unique features of our data distinguish our analysis from the previous...

We test for the existence of gender bias in power relationships. Specifically, we examine whether police officers are less likely to issue traffic tickets to men or to women during traffic stops. Whereas the conventional wisdom, which we document with surveys, is that women are less likely to...

Using a large sample of establishments drawn from the Multi-City Study of Urban Inequality (MCSUI) employer survey, we study gender differences in promotion rates and in the wage gains attached to promotions. Several unique features of our data distinguish our analysis from the previous...

Using a large sample of establishments drawn from the Multi-City Study of Urban Inequality (MCSUI) employer survey, we study gender differences in promotion rates and in the wage gains attached to promotions. Several unique features of our data distinguish our analysis from the previous...

Gender differences in overconfidence have been extensively documented in the empirical literature, but the implications for labor market outcomes are not well understood. In this paper, we analyze how men’s relatively higher overconfidence, combined with competitive job incentives, affects...

Using a promotion signaling model in which wages are realistically shaped by market forces, we analyze how male overconfidence combined with competitive workplace incentives affects gender equality in the labor market. Our main result is that overconfident workers exert more effort to be...

Gender differences in overconfidence are well documented in the empirical literature, but their impact on labor market outcomes remains underexplored. We provide new insights into how behavioral biases interact with career dynamics by presenting a theoretical analysis of how men's relatively...