G2TT
来源类型Discussion paper
规范类型论文
来源IDDP17422
DP17422 Gender Gaps in Academia: Global Evidence over the Twentieth Century
Alessandro Iaria; Carlo Schwarz; Fabian Waldinger
发表日期2022-07-01
出版年2022
语种英语
摘要Using the largest database of academics ever assembled, we analyze gender gaps in hiring, publications, citations, and promotions over an unprecedented time span and geographic coverage. First, we document an increasing share of female academics over the 20th century, in particular since 1970, with substantial heterogeneity across countries and disciplines. Second, we estimate gender gaps in publications of about -0.3sd. We uncover a U-shaped relationship of publication gaps as a function of the share of women in academia. A Roy model rationalizes this relationship and indicates persistent positive selection of women into academia throughout the 20th century. Third, we estimate negative gender gaps in citations. To control for gender differences in research topics, we develop a novel machine learning approach that predicts the citations of each paper, as if it had been written by men. Fourth, we estimate negative gender gaps in promotions, which persist even controlling for publications.
主题Economic History ; Labour Economics ; Public Economics
关键词Gender gaps Universities Selection Roy model Predicted citations
URLhttps://cepr.org/publications/dp17422
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/546505
推荐引用方式
GB/T 7714
Alessandro Iaria,Carlo Schwarz,Fabian Waldinger. DP17422 Gender Gaps in Academia: Global Evidence over the Twentieth Century. 2022.
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