The underrepresentation of women at the top of hierarchies is often explained by gender differences in preferences. We find support for this claim by analyzing a large dataset from an online card game community, a stylized yet natural setting characterized by self-selection into an uncertain,...

The most commonly used model of labor market incorporation among immigrants in the United States analyzes their earnings largely as a function of human capital variables such as education, language competence, age, length of residence and employment experience in the receiving country. However,...

This paper studies how different demographic groups respond to incentives by comparing performance in the GRE examination in "high" and "low" stakes situations. The high stakes situation is the real GRE examination and the low stakes situation is a voluntary experimental section of the GRE that...

Are people prone to selecting occupations with highly skewed income distributions despite minuscule chances of success? Assembling a comprehensive pool of potential teenage entrants into professional tennis (a typical winner-take-all market), we construct objective measures of relative ability...

Married women in the United States are increasingly integral to their families' economic wellbeing. With two-earner families becoming the norm, little research investigates the role of wives in family income mobility. How much does a wife's labor market activity matter in her family's ability to...

We analyze four methods to measure unexplained gaps in mean outcomes: three decompositions based on the seminal work of Oaxaca (1973) and Blinder (1973) and an approach involving a seemingly naive regression that includes a group indicator variable. Our analysis yields two principal findings. We...

This study examines the wage gender gap of young adults in the 1970s, 1980s, and 2000 in the US. Using quantile regression we estimate the gender gap across the entire wage distribution. We also study the importance of high school characteristics in predicting future labor market performance. We...