2014
DOI: 10.1016/j.econedurev.2014.03.007
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Gender ratios at top PhD programs in economics

Abstract: 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… Show more

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Cited by 42 publications
(15 citation statements)
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“…The difference is quantitatively modest (with point estimates corresponding to a difference between 10% and 20%) and is more robust for male students than for female students. However, we find quantitatively large effects on placement 1 Hale and Regev (2014) find that the share of female faculty is correlated with the share of female students in top economics PhD programs.…”
Section: Introductionmentioning
confidence: 62%
“…The difference is quantitatively modest (with point estimates corresponding to a difference between 10% and 20%) and is more robust for male students than for female students. However, we find quantitatively large effects on placement 1 Hale and Regev (2014) find that the share of female faculty is correlated with the share of female students in top economics PhD programs.…”
Section: Introductionmentioning
confidence: 62%
“…As we show in Table 2, model 4 reduces L 2 by 171 (12 df) in the relative prestige array and by 109 points (9 df) in the absolute prestige array compared to the field segregation model (see model contrast 3, Table 2). For the relative prestige array, IPEDs, 2003-2014Absolute prestige N = 406,726. the value of BIC is smaller for model 4 than for model 2, meaning that model 4 is preferred by this test of model fit. For the absolute prestige array, however, BIC is slightly larger (6.8 points) for model 4, meaning the more parsimonious model 2 is preferred (Raftery 1995).…”
Section: How Much Field and Prestige Segregation Is There?mentioning
confidence: 99%
“…There are several reasons for considering this hypothesis. First, there is evidence of gender segregation across different scientific subfields (Dolado, Felgueroso, and Almunia 2012;Hale and Regev 2014). If men and women tend to do research in different subfields and evaluators overrate the importance of their own types of research, the lack of female evaluators might be detrimental for female candidates PerezVilladoniga 2012, 2013).…”
mentioning
confidence: 99%