Peer Effects in Medical School
AbstractUsing data on the universe of students who graduated from U.S. 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 9025.
Date of creation: Jun 2002
Date of revision:
Note: HC LS
Contact details of provider:
Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
Web page: http://www.nber.org
More information through EDIRC
Other versions of this item:
- I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
- J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
This paper has been announced in the following NEP Reports:
- NEP-ALL-2002-07-04 (All new papers)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Thomas J. Nechyba, 2000. "Mobility, Targeting, and Private-School Vouchers," American Economic Review, American Economic Association, vol. 90(1), pages 130-146, March.
- Weili Ding & Steven Lehrer, 2005.
"Do Peers Affect Student Achievement in China's Secondary Schools?,"
1047, Queen's University, Department of Economics.
- Weili Ding & Steven F. Lehrer, 2007. "Do Peers Affect Student Achievement in China's Secondary Schools?," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 300-312, May.
- Weili Ding & Steven F. Lehrer, 2006. "Do Peers Affect Student Achievement in China's Secondary Schools?," NBER Working Papers 12305, National Bureau of Economic Research, Inc.
- Brock, William A. & Durlauf, Steven N., 2001.
Handbook of Econometrics,
in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 54, pages 3297-3380
- Manski, C.F., 1991.
"Identification of Endogenous Social Effects: the Reflection Problem,"
9127, Wisconsin Madison - Social Systems.
- Manski, Charles F, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," Review of Economic Studies, Wiley Blackwell, vol. 60(3), pages 531-42, July.
- Glaeser, E.L. & Scheinkman, J.A. & Sacerdote, J.A., 1995.
"Crime and Social Interactions,"
e-95-2, Hoover Institution, Stanford University.
- Edward E. Glaeser & Bruce Sacerdote & Jose A. Scheinkman, 1995. "Crime and Social Interactions," Harvard Institute of Economic Research Working Papers 1738, Harvard - Institute of Economic Research.
- Edward L. Glaeser & Bruce Sacerdote & Jose A. Scheinkman, 1995. "Crime and Social Interactions," NBER Working Papers 5026, National Bureau of Economic Research, Inc.
- Charles F. Manski, 2000.
"Economic Analysis of Social Interactions,"
NBER Working Papers
7580, National Bureau of Economic Research, Inc.
- Frank A. Sloan, 1970. "Lifetime earnings and physicians' choice of specialty," Industrial and Labor Relations Review, ILR Review, Cornell University, ILR School, vol. 24(1), pages 47-56, October.
- Alejandro Gaviria & Steven Raphael, 2001. "School-Based Peer Effects And Juvenile Behavior," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 257-268, May.
- Epple, Dennis & Romano, Richard E, 1998. "Competition between Private and Public Schools, Vouchers, and Peer-Group Effects," American Economic Review, American Economic Association, vol. 88(1), pages 33-62, March.
- Roth, Alvin E, 1984. "The Evolution of the Labor Market for Medical Interns and Residents: A Case Study in Game Theory," Journal of Political Economy, University of Chicago Press, vol. 92(6), pages 991-1016, December.
- Evans, William N & Oates, Wallace E & Schwab, Robert M, 1992. "Measuring Peer Group Effects: A Study of Teenage Behavior," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 966-91, October.
- Elizabeth M. Caucutt, 2001. "Peer group effects in applied general equilibrium," Economic Theory, Springer, vol. 17(1), pages 25-51.
- Caroline Hoxby, 2000. "Peer Effects in the Classroom: Learning from Gender and Race Variation," NBER Working Papers 7867, National Bureau of Economic Research, Inc.
- Sean Nicholson, 2002. "Physician Specialty Choice under Uncertainty," Journal of Labor Economics, University of Chicago Press, vol. 20(4), pages 816-847, October.
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page. reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().
If references are entirely missing, you can add them using this form.