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The analysis of students’ academic achievement: the evaluation of peer effects through relational links

  • Simone Celant

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    In literature, the analysis of the influence of the environmental context on individual choices and behaviors, with particular reference to areas related to school and academic education, is usually performed through the methodology of peer effects. In this study, after presenting a brief overview on this approach, we propose a procedure for the analysis of the dependence of students’ academic performances on the contextual effects, determined by the sociometric ties observed between them, and by the subsequent division of the network into groups, using the linear-in-mean model for social interactions. This procedure is then applied to real data, collected in a second level degree course of the university of Rome Tor Vergata, for the construction of some models on student academic achievement. Empirical evidence suggests that peer effects are a significant determinant of performance, and that they identify explanatory aspects of individual achievement, that usual regressors are not able to catch. Copyright Springer Science+Business Media B.V. 2013

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    File URL: http://hdl.handle.net/10.1007/s11135-011-9536-8
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    Article provided by Springer in its journal Quality & Quantity.

    Volume (Year): 47 (2013)
    Issue (Month): 2 (February)
    Pages: 615-631

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    Handle: RePEc:spr:qualqt:v:47:y:2013:i:2:p:615-631
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    1. Ethan Cohen-Cole & Jason M. Fletcher, 2008. "Is obesity contagious?: social networks vs. environmental factors in the obesity epidemic," Risk and Policy Analysis Unit Working Paper QAU08-2, Federal Reserve Bank of Boston.
    2. repec:att:wimass:9127 is not listed on IDEAS
    3. Sund, Krister, 2009. "Estimating peer effects in Swedish high school using school, teacher, and student fixed effects," Economics of Education Review, Elsevier, vol. 28(3), pages 329-336, June.
    4. Jane Friesen & Brian Krauth, 2004. "Sorting and inequality in Canadian schools," HEW 0408001, EconWPA.
    5. Massimiliano Bratti & Abigail McKnight & Robin Naylor & Jeremy Smith, 2004. "Higher education outcomes, graduate employment and university performance indicators," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 167(3), pages 475-496.
    6. Bramoullé, Yann & Djebbari, Habiba & Fortin, Bernard, 2007. "Identification of Peer Effects through Social Networks," IZA Discussion Papers 2652, Institute for the Study of Labor (IZA).
    7. Edward L. Glaeser & Bruce Sacerdote & Jose A. Scheinkman, 1995. "Crime and Social Interactions," NBER Working Papers 5026, National Bureau of Economic Research, Inc.
    8. Schneeweis, Nicole & Winter-Ebmer, Rudolf, 2005. "Peer Effects in Austrian Schools," CEPR Discussion Papers 5018, C.E.P.R. Discussion Papers.
    9. Trogdon, Justin G. & Nonnemaker, James & Pais, Joanne, 2008. "Peer effects in adolescent overweight," Journal of Health Economics, Elsevier, vol. 27(5), pages 1388-1399, September.
    10. Graham, Bryan S. & Hahn, Jinyong, 2005. "Identification and estimation of the linear-in-means model of social interactions," Economics Letters, Elsevier, vol. 88(1), pages 1-6, July.
    11. McEwan, Patrick J., 2003. "Peer effects on student achievement: evidence from Chile," Economics of Education Review, Elsevier, vol. 22(2), pages 131-141, April.
    12. Lundborg, Petter, 2006. "Having the wrong friends? Peer effects in adolescent substance use," Journal of Health Economics, Elsevier, vol. 25(2), pages 214-233, March.
    13. Bruce Sacerdote, 2001. "Peer Effects With Random Assignment: Results For Dartmouth Roommates," The Quarterly Journal of Economics, MIT Press, vol. 116(2), pages 681-704, May.
    14. 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.
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