, 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 …

We analyze temporal trends in cultural distance between groups in the US defined by income, education, gender, race … based on his or her (i) media consumption, (ii) consumer behavior, (iii) time use, or (iv) social attitudes. Gender …

on the depiction of risk and gender roles. Films that promote risk-taking sell more in entrepreneurial societies today … continue to find a robust audience in societies with similar gender stereotypes in their folklore and where women today …

specifically, Mexican. Linking data on self-reported ethnicity, ancestry, and parental place of birth with county-level voter … discrimination and hostility. At the same time, anti-minority sentiment may raise the salience of ethnicity and race and thus …

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 …

heritage the more integrated are the neighborhoods where they reside and work. Data on ethnic preferences and attitudes …