{"title":"Understanding the Drivers of the Gender Productivity Gap in the Economics Profession","authors":"Dennis Wesselbaum","doi":"10.1177/05694345221128193","DOIUrl":null,"url":null,"abstract":"In this paper, I construct a novel data set from individual curriculum vitae of economists at the top 100 US departments to study gender differences in the drivers of scholarly performance. Using a Shapley decomposition procedure to estimate the contribution of each driver in explaining the variation in mean and inequality of research performance, I find that for women, current placement is a more important driver of performance and inequality in performance compared to men. For men, co-authorship is the most important driver. Overall, my results suggest that networks are the key driver of performance and of inequality in performance. JEL codes: A14, J16, J24","PeriodicalId":85623,"journal":{"name":"The American economist","volume":"68 1","pages":"61 - 73"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The American economist","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/05694345221128193","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, I construct a novel data set from individual curriculum vitae of economists at the top 100 US departments to study gender differences in the drivers of scholarly performance. Using a Shapley decomposition procedure to estimate the contribution of each driver in explaining the variation in mean and inequality of research performance, I find that for women, current placement is a more important driver of performance and inequality in performance compared to men. For men, co-authorship is the most important driver. Overall, my results suggest that networks are the key driver of performance and of inequality in performance. JEL codes: A14, J16, J24
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