Peer effects in medical school
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2005-02-01
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Abstract
Using data on the universe of students who graduated from US medical schools between 1996 and 1998, we examine whether the abilities and specialty preferences of a medical school class affect a student's academic achievement in medical school and his choice of specialty. We mitigate the selection problem by including school-specific fixed effects, and show that this method yields an upper bound on peer effects for our data. We estimate positive peer effects that disappear when school-specific fixed effects are added to control for the endogeneity of a peer group. We find no evidence that peer effects are stronger for blacks, that peer groups are formed along racial lines, or that students with relatively low ability benefit more from their peers than students with relatively high-ability. However, we do find some evidence that peer groups form along gender lines. © 2004 Elsevier B.V. All rights reserved.
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Arcidiacono, P, and S Nicholson (2005). Peer effects in medical school. Journal of Public Economics, 89(2-3). pp. 327–350. 10.1016/j.jpubeco.2003.10.006 Retrieved from https://hdl.handle.net/10161/2636.
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Peter S. Arcidiacono
Professor Arcidiacono specializes in research involving applied microeconomics, applied economics, and labor economics. His research primarily focuses on education and discrimination. His work focuses specifically on the exploration of a variety of subjects, such as structural estimation, affirmative action, minimum wages, teen sex, discrimination, higher education, and dynamic discrete choice models, among others. He recently received funding from a National Science Foundation Grant for his project, “CCP Estimation of Dynamic Discrete Choice Models with Unobserved Heterogeneity.” He has also been awarded grants from NICHD for his work entitled, “A Dynamic Model of Teen Sex, Abortion, and Childbearing;” and from the Smith Richardson Foundation for his study, “Does the River Spill Over? Race and Peer Effects in the College & Beyond” with Jacob Vigdor. Other recent studies of his include, “The Distributional Effects of Minimum Wage Increases when Both Labor Supply and Labor Demand are Endogenous” with Tom Ahm and Walter Wessles; “Explaining Cross-racial Differences in Teenage Labor Force Participation: Results from a General Equilibrium Search Model” with Alvin Murphy and Omari Swinton; and “The Effects of Gender Interactions in the Lab and in the Field” in collaboration with Kate Antonovics and Randy Walsh.
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