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来源类型 | Discussion paper |
规范类型 | 论文 |
来源ID | DP17422 |
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 |
URL | https://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. |
条目包含的文件 | 条目无相关文件。 |
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