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Gender Stereotype and the Scientific Career of Women: Evidence from Biomedical Research Centers

Sonja Reiland, Daniele Alimonti and José García-Montalvo

No 1212, Working Papers from Barcelona School of Economics

Abstract: Women are underrepresented in the top ranks of the scientific career, including the biomedical disciplines. This is not generally the result of explicit and easily recognizable gender biases but the outcome of decisions with many components of unconscious nature that are difficult to assess. Evidence suggests that implicit gender stereotypes influence perceptions as well as decisions. To explore these potential reasons of women's underrepresentation in life sciences we analyzed the outcome of gender-science and gender-career Implicit Association Tests (IAT) taken by 2,589 scientists working in high profile biomedical research centers. We found that male-science association is less pronounced among researchers than in the general population (34% below the level of the general population). However, this difference is mostly explained by the low level of the IAT score among female researchers. Despite the highly meritocratic view of the academic career, male scientists have a high level of male-science association (261% the level among women scientists), similar to the general population.

Keywords: gender bias; implicit association test; research centers; scientific career (search for similar items in EconPapers)
JEL-codes: J16 J44 J7 O32 (search for similar items in EconPapers)
Date: 2020-11
New Economics Papers: this item is included in nep-gen, nep-lab and nep-sog
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