, ethnicity, and gender in the United States. However, the data necessary to detect possible discrimination and to act to counter … pictures to identify race, ethnicity, and gender. We show that one can use LinkedIn data to obtain reasonably reliable measures … of workforce demographic composition by race, ethnicity, and gender, based on validation exercises comparing estimates …

work, using recently-constructed matched employer-employee data at the establishment level. We explicitly measure the … importance of network effects for groups broken out by race, ethnicity, and various measures of skill, for networks generated by …

different gender, race, or ethnic groups and how they evolve as buyers obtain more information about seller quality. We consider … have a choice about how strongly to signal gender. We develop a new approach to identifying statistical discrimination … using doctors' choices about signaling their gender. We find evidence of statistical discrimination against female doctors …

effects could differ by race and gender, so implications for hourly earnings do not necessarily extend to overall earnings. We …

This paper tests whether school-to-work (STW) programs are particularly beneficial for those less likely to go to …

women perform more total work. The facts do not arise from gender differences in the price of time (as measured by market … marital status; nor do they stem from family norms, since most of the variance in the gender total work difference is due to … to account for within-education group and within-region gender differences in total work being smaller than inter …