Advanced Search
MyIDEAS: Login to save this paper or follow this series

Classroom peer effects and student achievement

Contents:

Author Info

  • Mary A. Burke
  • Tim R. Sass

Abstract

In this paper we analyze the impact of classroom peers on individual student performance with a unique longitudinal data set covering all Florida public school students in grades 3-10 over a five-year period. Unlike many previous data sets used to study peer effects in education, our data set allow us to identify each member of a given student’s classroom peer group in elementary, middle, and high school as well as the classroom teacher responsible for instruction. As a result, we can control for individual student fixed effects simultaneously with individual teacher fixed effects, thereby alleviating biases due to endogenous assignment of both peers and teachers, including some dynamic aspects of such assignments. Our estimation strategy, which focuses on the influence of peers' fixed characteristics—both observed and unobserved—on individual test score gains, also alleviates potential biases due to error in measuring peer quality, simultaneity of peer outcomes, and mean reversion. Under linear-in-means specifications, estimated peer effects are small to non-existent, but we find some sizable and significant peer effects within non-linear models. For example, we find that peer effects depend on an individual student’s own ability and on the ability level of the peers under consideration, results that suggest Pareto-improving redistributions of students across classrooms and/or schools. Estimated peer effects tend to be smaller when teacher fixed effects are included than when they are omitted, a result that suggests co-movement of peer and teacher quality effects within a student over time. We also find that peer effects tend to be stronger at the classroom level than at the grade level.

Download Info

If 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.
File URL: http://www.bostonfed.org/economic/wp/wp2008/wp0805.htm
Download Restriction: no

File URL: http://www.bostonfed.org/economic/wp/wp2008/wp0805.pdf
Download Restriction: no

Bibliographic Info

Paper provided by Federal Reserve Bank of Boston in its series Working Papers with number 08-5.

as in new window
Length:
Date of creation: 2008
Date of revision:
Handle: RePEc:fip:fedbwp:08-5

Contact details of provider:
Postal: 600 Atlantic Avenue, Boston, Massachusetts 02210
Phone: 617-973-3397
Fax: 617-973-4221
Email:
Web page: http://www.bos.frb.org/
More information through EDIRC

Order Information:
Email:

Related research

Keywords: Education;

Other versions of this item:

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
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.:
as in new window
  1. 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.
  2. Glewwe, Paul, 1997. "Estimating the impact of peer group effects on socioeconomic outcomes: Does the distribution of peer group characteristics matter?," Economics of Education Review, Elsevier, vol. 16(1), pages 39-43, February.
  3. 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.
  4. Esther Duflo & Pascaline Dupas & Michael Kremer, 2008. "Peer Effects, Teacher Incentives, and the Impact of Tracking: Evidence from a Randomized Evaluation in Kenya," NBER Working Papers 14475, National Bureau of Economic Research, Inc.
  5. Angrist, Joshua & Lang, Kevin, 2004. "Does School Integration Generate Peer Effects? Evidence from Boston's Metco Program," IZA Discussion Papers 976, Institute for the Study of Labor (IZA).
  6. Caroline Hoxby, 2000. "Peer Effects in the Classroom: Learning from Gender and Race Variation," NBER Working Papers 7867, National Bureau of Economic Research, Inc.
  7. Scott E. Carrell & Richard L. Fullerton & James E. West, 2009. "Does Your Cohort Matter? Measuring Peer Effects in College Achievement," Journal of Labor Economics, University of Chicago Press, vol. 27(3), pages 439-464, 07.
  8. Scott E. Carrell & Mark L. Hoekstra, 2010. "Externalities in the Classroom: How Children Exposed to Domestic Violence Affect Everyone's Kids," American Economic Journal: Applied Economics, American Economic Association, vol. 2(1), pages 211-28, January.
  9. Edward P. Lazear, 1999. "Educational Production," NBER Working Papers 7349, National Bureau of Economic Research, Inc.
  10. John M. Abowd & Robert H. Creecy & Francis Kramarz, 2002. "Computing Person and Firm Effects Using Linked Longitudinal Employer-Employee Data," Longitudinal Employer-Household Dynamics Technical Papers 2002-06, Center for Economic Studies, U.S. Census Bureau.
  11. Joshua Angrist & Alan Krueger, 1990. "Does Compulsory School Attendance Affect Schooling and Earnings?," Working Papers 653, Princeton University, Department of Economics, Industrial Relations Section..
  12. Upward, Richard & Schank, Thorsten & J. Andrews, Martyn, 2005. "Practical estimation methods for linked employer-employee data," Discussion Papers 29 [rev.], Friedrich-Alexander-University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
  13. Laura M. Argys & Daniel I. Rees, 2008. "Searching for Peer Group Effects: A Test of the Contagion Hypothesis," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 442-458, August.
  14. Scott E. Carrell & Bruce I. Sacerdote & James E. West, 2011. "From Natural Variation to Optimal Policy? The Lucas Critique Meets Peer Effects," NBER Working Papers 16865, National Bureau of Economic Research, Inc.
  15. Bernheim, B Douglas, 1994. "A Theory of Conformity," Journal of Political Economy, University of Chicago Press, vol. 102(5), pages 841-77, October.
  16. David N. Figlio, 2005. "Boys Named Sue: Disruptive Children and their Peers," NBER Working Papers 11277, National Bureau of Economic Research, Inc.
  17. Bonesronning, Hans, 2004. "The determinants of parental effort in education production: do parents respond to changes in class size?," Economics of Education Review, Elsevier, vol. 23(1), pages 1-9, February.
  18. Charles T. Clotfelter & Helen F. Ladd & Jacob L. Vigdor, 2006. "Teacher-Student Matching and the Assessment of Teacher Effectiveness," NBER Working Papers 11936, National Bureau of Economic Research, Inc.
  19. Dennis Epple & Elizabeth Newlon & Richard Romano, 2000. "Ability Tracking, School Competition, and the Distribution of Educational Benefits," NBER Working Papers 7854, National Bureau of Economic Research, Inc.
  20. Robert Bifulco & Helen F. Ladd, 2006. "The Impacts of Charter Schools on Student Achievement: Evidence from North Carolina," Education Finance and Policy, MIT Press, vol. 1(1), pages 50-90, January.
  21. Peter Arcidiacono & Gigi Foster & Natalie Goodpaster & Josh Kinsler, 2012. "Estimating spillovers using panel data, with an application to the classroom," Quantitative Economics, Econometric Society, vol. 3(3), pages 421-470, November.
  22. Elizabeth M. Caucutt, 2002. "Educational Vouchers When There Are Peer Group Effects--Size Matters," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 43(1), pages 195-222, February.
  23. George A. Akerlof & Rachel E. Kranton, 2002. "Identity and Schooling: Some Lessons for the Economics of Education," Journal of Economic Literature, American Economic Association, vol. 40(4), pages 1167-1201, December.
  24. Carman, Katherine Grace & Zhang, Lei, 2012. "Classroom peer effects and academic achievement: Evidence from a Chinese middle school," China Economic Review, Elsevier, vol. 23(2), pages 223-237.
  25. Anna Aizer, 2008. "Peer Effects and Human Capital Accumulation: the Externalities of ADD," NBER Working Papers 14354, National Bureau of Economic Research, Inc.
  26. Li Feng, 2009. "Opportunity Wages, Classroom Characteristics, and Teacher Mobility," Southern Economic Journal, Southern Economic Association, vol. 75(4), pages 1165-1190, April.
  27. Martyn Andrews & Thorsten Schank & Richard Upward, 2006. "Practical fixed-effects estimation methods for the three-way error-components model," Stata Journal, StataCorp LP, vol. 6(4), pages 461-481, December.
  28. Jacob M. Markman & Eric A. Hanushek & John F. Kain & Steven G. Rivkin, 2003. "Does peer ability affect student achievement?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(5), pages 527-544.
  29. Steven G. Rivkin & Eric A. Hanushek & John F. Kain, 2005. "Teachers, Schools, and Academic Achievement," Econometrica, Econometric Society, vol. 73(2), pages 417-458, 03.
  30. 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.
  31. Laura M. Argys & Daniel I. Rees & Dominic J. Brewer, 1996. "Detracking America's schools: Equity at zero cost?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 15(4), pages 623-645.
  32. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages F3-F33, February.
  33. Tim R. Sass, 2006. "Charter Schools and Student Achievement in Florida," Education Finance and Policy, MIT Press, vol. 1(1), pages 91-122, January.
  34. Roland G. Fryer, Jr. & Paul Torelli, 2005. "An Empirical Analysis of 'Acting White'," NBER Working Papers 11334, National Bureau of Economic Research, Inc.
  35. Duflo, Esther & Dupas, Pascaline & Kremer, Michael, 2008. "Peer Effects and the Impact of Tracking: Evidence from a Randomized Evaluation in Kenya," CEPR Discussion Papers 7043, C.E.P.R. Discussion Papers.
Full references (including those not matched with items on IDEAS)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:fip:fedbwp:08-5. See general 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: (Catherine Spozio).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.