title: Science and Engineering Ph.D. Students' Career Outcomes, by Gender.
abstract: We examine differences in the careers of men and women Ph.D.s from two major European universities. Having performed regression analysis, we find that women are more likely than men to be employed in public administration when the alternatives are either academia or industry. Between the latter two alternatives, women are more likely to be employed in academia. These gender differences persist after accounting for Ph.D.s' and their supervisors' characteristics. Gender gaps are smaller for Ph.D.s with large research outputs and for those who conducted applied research. Restricting the analysis to Ph.D.s who pursued postdoc training, women are less likely than men to be employed in highly ranked universities, even after controlling for their research outputs. Finally, we find gender differences in Ph.D.s' appointment to professorship, which are explained by the Ph.D.s' publication output and the quality of their postdoc training.
authors.affiliation: Scheller College of Business and RCEA, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
authors.forename: Annamaria
authors.initials: A
authors.lastname: Conti
authors.affiliation: Chair of Economics and Management of Innovation, École Polytechnique Fédérale de Lausanne, Lausanne, Vaud, Switzerland.
authors.forename: Fabiana
authors.initials: F
authors.lastname: Visentin
mesh_terms: D000047:Academies and Institutes / Q000706:statistics & numerical data; D002321:Career Choice; D002322:Career Mobility; D004500:Education, Graduate; D004651:Employment / Q000706:statistics & numerical data; D004738:Engineering / Q000193:education*; D005060:Europe; D005178:Faculty / Q000706:statistics & numerical data; D005260:Female; D006801:Humans; D007221:Industry / Q000706:statistics & numerical data; D016015:Logistic Models; D008297:Male; D009790:Occupations / Q000706:statistics & numerical data; D012106:Research / Q000706:statistics & numerical data; D012586:Science / Q000193:education*; D012737:Sex Factors; D013334:Students / Q000706:statistics & numerical data*; D014495:Universities