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Peer Heterogeneity, School Tracking and Students’ Performances: Evidence from PISA 2006

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  • Michele Raitano
  • Francesco Vona

Abstract

The empirical literature using large international students’ assessments tends to neglect the role of school composition variables in order not to incur in a misidentification of peer effects. However, this could lead to an error of higher logical type since the learning environment crucially depends on peer variables. In this paper, using PISA 2006, we show how peer heterogeneity is a key determinant of students’ attainments. Interestingly, the effect of peer variables differs depending on the country tracking policy: peer heterogeneity reduces efficiency in comprehensive systems whereas it has a non-linear impact in early-tracking ones. In turn, linear peer effects are larger in early-tracking systems. Results remain robust in both student- and school-level regressions and when we add school-level dummies and several controls correlated with the school choice to alleviate the selectivity bias.

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Bibliographic Info

Paper provided by University of Rome La Sapienza, Department of Public Economics in its series Working Papers with number 143.

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Length: 37
Date of creation: May 2011
Date of revision:
Handle: RePEc:sap:wpaper:wp143

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Keywords: peer heterogeneity; peer effects; schooling tracking; educational production function.;

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  1. Entorf, Horst & Lauk, Martina, 2006. "Peer Effects, Social Multipliers and Migrants at School: An International Comparison," IZA Discussion Papers 2182, Institute for the Study of Labor (IZA).
  2. Nicole Schneeweis & Rudolf Winter-Ebmer, 2005. "Peer effects in Austrian schools," Economics working papers 2005-02, Department of Economics, Johannes Kepler University Linz, Austria.
  3. de Bartolome, Charles A M, 1990. "Equilibrium and Inefficiency in a Community Model with Peer Group Effects," Journal of Political Economy, University of Chicago Press, vol. 98(1), pages 110-33, February.
  4. Thomas Fuchs & Ludger Woessmann, 2004. "What Accounts for International Differences in Student Performance? A Re-examination using PISA Data," Econometric Society 2004 Australasian Meetings 274, Econometric Society.
  5. Andreas Ammermueller & Jörn-Steffen Pischke, 2006. "Peer Effects in European Primary Schools: Evidence from PIRLS," CEE Discussion Papers 0065, Centre for the Economics of Education, LSE.
  6. 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.
  7. Bishop, John H. & Wößmann, Ludger, 2004. "Institutional effects in a simple model of educational production," Munich Reprints in Economics 20279, University of Munich, Department of Economics.
  8. Carneiro, Pedro & Heckman, James J., 2003. "Human Capital Policy," IZA Discussion Papers 821, Institute for the Study of Labor (IZA).
  9. 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.
  10. Fertig, Michael, 2003. "Educational Production, Endogenous Peer Group Formation and Class Composition – Evidence from the PISA 2000 Study," IZA Discussion Papers 714, Institute for the Study of Labor (IZA).
  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. V. Vandenberghe, 2002. "Evaluating the magnitude and the stakes of peer effects analysing science and math achievement across OECD," Applied Economics, Taylor & Francis Journals, vol. 34(10), pages 1283-1290.
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Cited by:
  1. Marina Murat & Davide Ferrari & Patrizio Frederic, 2012. "Immigrant students and educational systems. Cross-country evidence from PISA 2006," Department of Economics 0683, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
  2. Murat Marina, 2012. "Do Immigrant Students Succeed? Evidence from Italy and France," Global Economy Journal, De Gruyter, vol. 12(3), pages 1-22, September.
  3. Marchionni, Mariana & Pinto, Florencia & Vazquez, Emmanuel, 2013. "Determinantes de la desigualdad en el desempeño educativo en la Argentina
    [Determinants of the inequality in PISA test scores in Argentina]
    ," MPRA Paper 56421, University Library of Munich, Germany.
  4. Marchionni, Mariana & Vazquez, Emmanuel & Pinto, Florencia, 2012. "Desigualdad educativa en la Argentina. Análisis en base a los datos PISA 2009
    [Education Inequality in Argentina. An analysis based on PISA 2009 data]
    ," MPRA Paper 56420, University Library of Munich, Germany.
  5. Marina Murat, 2011. "Do immigrant students succeed? Evidence from Italy and France based on PISA 2006," Department of Economics 0670, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
  6. Francesco Vona, 2011. "Does the Expansion of Higher Education Reduce Educational Inequality? Evidence from 12 European Countries," Documents de Travail de l'OFCE 2011-12, Observatoire Francais des Conjonctures Economiques (OFCE).
  7. Laura Cavalli & Alessandro Bucciol & Paolo Pertile & Veronica Polin & Nicola Sartor & Alessandro Sommacal, 2012. "Modelling life-course decisions for the analysis of interpersonal and intrapersonal redistribution," Working Papers 25/2012, University of Verona, Department of Economics.

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