Analyzing university faculty and graduate student data for the top-ten U.S. economics departments between 1987 and 2007, we find that there are persistent differences in gender composition for both faculty and graduate students across institutions and that the share of female faculty and the share of women in the entering PhD class are positively correlated. We find, using instrumental variables analysis, robust evidence that this correlation is driven by the causal effect of the female faculty share on the gender composition of the entering PhD class. This result provides an explanation for persistent underrepresentation of women in economics, as well as for persistent segregation of women across academic fields.

Women sellers receive about 80 cents for every dollar a man receives when selling identical new products on eBay.

Analyzing university faculty and graduate students data for ten of the top U.S. economics departments between 1987 and 2007, we find persistent differences in the gender compositions of both faculty and graduate students across departments. There is a positive correlation between the share of female faculty and the share of women in the PhD class graduating 6 years later. Using instrumental variable analysis, we find robust evidence that this relation is causal. These results contribute to our understanding of the persistent under-representation of women in economics, as well as for the persistent segregation of women in the labor force.

Older adults tend to underutilise mental health services. Mental health literacy plays a critical role in identifying and overcoming barriers to accessing mental health care. The ability to recognise mental illness is an essential component of mental health literacy, with important implications to whether the person will seek professional help. We conducted a review of the literature on older adults’ abilities to recognise mental illness. Of the 421 papers that were retrieved in the comprehensive search in PubMed, 32 studies met inclusion criteria. Studies were heterogeneous in terms of target population and methodology, yet findings show that older adults are less likely to correctly recognise mental disorders. Cueing older participants with mental labels improved their recognition abilities. Recognition was particularly poor among immigrant and ethnic/racial older adults, likely due to linguistic and cultural barriers. Our findings demonstrate that older adults show low levels of mental illness recognition and tend to view some illnesses as normal parts of aging. Findings emphasise the need for developing educational programs tailored by the specific phenomenology, conceptualisations and cultural meanings of mental illness among older adults, with attention to informal sources of information and social networks.

Research suggests that gendered languages are associated with gender inequality. However, as languages are embedded in cultures, evidence for causal effects are harder to provide. We contribute to this ongoing debate by exploring the relationship between gendered languages and the gender gap in mathematics achievements. We provide evidence for causality by exploiting the prominent (but not exclusive) practice in gendered languages of using masculine generics to address women. In an experiment on a large representative sample of the Hebrew-speaking adult population in Israel, we show that addressing women in the feminine, compared to addressing them in the masculine, reduces the gender gap in mathematics achievements by a third. These effects are stronger among participants who acquired the Hebrew language early in childhood rather than later in life, suggesting that it is the extent of language proficiency that generates one’s sensitivity to being addressed in the masculine or in the feminine. Moreover, when women are addressed in the masculine, their efforts (in terms of time spent on the maths test) decrease and they report feeling that “science is for men” more than when addressed in the feminine. We supplement the analysis with two experiments that explore the roles of general and task-specific stereotypes in generating these effects.