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Peer Effects in European Primary Schools: Evidence from the Progress in International Reading Literacy Study

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  • Andreas Ammermueller
  • Jörn-Steffen Pischke

Abstract

We estimate peer effects for fourth graders in six European countries. The identification relies on variation across classes within schools, which we argue are formed roughly randomly. The estimates are much reduced within schools compared to the standard ordinary least squares (OLS) results. This could be explained either by selection into schools or by measurement error in the peer variable. Correcting for measurement error, we find within-school estimates close to the original OLS estimates. Our results suggest that the peer effect is modestly large, measurement error is important in our survey data, and selection plays little role in biasing peer effects estimates. (c) 2009 by The University of Chicago.

Suggested Citation

  • Andreas Ammermueller & Jörn-Steffen Pischke, 2009. "Peer Effects in European Primary Schools: Evidence from the Progress in International Reading Literacy Study," Journal of Labor Economics, University of Chicago Press, vol. 27(3), pages 315-348, July.
    • Handle: RePEc:ucp:jlabec:v:27:y:2009:i:3:p:315-348
    DOI: 10.1086/603650
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    References listed on IDEAS

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    1. Bryan S. Graham, 2008. "Identifying Social Interactions Through Conditional Variance Restrictions," Econometrica, Econometric Society, vol. 76(3), pages 643-660, May.
    2. 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.
    3. Alan B. Krueger, 1999. "Experimental Estimates of Education Production Functions," The Quarterly Journal of Economics, Oxford University Press, vol. 114(2), pages 497-532.
    4. Julie Berry Cullen & Brian A Jacob & Steven Levitt, 2006. "The Effect of School Choice on Participants: Evidence from Randomized Lotteries," Econometrica, Econometric Society, vol. 74(5), pages 1191-1230, September.
    5. Aaron Sojourner, "undated". "Inference on Peer Effects with Missing Peer Data: Evidence from Project STAR," Working Papers 0109, Human Resources and Labor Studies, University of Minnesota (Twin Cities Campus).
    6. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," Review of Economic Studies, Oxford University Press, vol. 60(3), pages 531-542.
    7. Robert Mislevy, 1991. "Randomization-based inference about latent variables from complex samples," Psychometrika, Springer;The Psychometric Society, vol. 56(2), pages 177-196, June.
    8. Nicole Schneeweis & Rudolf Winter-Ebmer, 2007. "Peer effects in Austrian schools," Empirical Economics, Springer, vol. 32(2), pages 387-409, May.
    9. McEwan, Patrick J., 2003. "Peer effects on student achievement: evidence from Chile," Economics of Education Review, Elsevier, vol. 22(2), pages 131-141, April.
    10. Charles T. Clotfelter & Helen F. Ladd & Jacob L. Vigdor, 2006. "Teacher-Student Matching and the Assessment of Teacher Effectiveness," Journal of Human Resources, University of Wisconsin Press, vol. 41(4).
    11. Ashenfelter, Orley & Krueger, Alan B, 1994. "Estimates of the Economic Returns to Schooling from a New Sample of Twins," American Economic Review, American Economic Association, vol. 84(5), pages 1157-1173, December.
    12. Beatrice Rangvid, 2007. "School composition effects in Denmark: quantile regression evidence from PISA 2000," Empirical Economics, Springer, vol. 33(2), pages 359-388, September.
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