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Inside the Black of Box of Ability Peer Effects: Evidence from Variation in Low Achievers in the Classroom

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  • Lavy, Victor
  • Paserman, Daniele
  • Schlosser, Analila

Abstract

In this paper, we estimate the extent of ability peer effects in the classroom and explore the underlying mechanisms through which these peer effects operate. We identify as low ability students those who are enrolled at least one year behind their birth cohort (“repeaters”). We show that there are marked differences between the academic performance and behavior of repeaters and regular students. The status of repeaters is mostly determined by first grade; therefore, it is unlikely to have been affected by their classroom peers, and our estimates will not suffer from the reflection problem. Using within school variation in the proportion of these low ability students across cohorts of middle and high school students in Israel, we find that the proportion of low achieving peers has a negative effect on the performance of regular students, especially those located at the lower end of the ability distribution. An exploration of the underlying mechanisms of these peer effects shows that, relative to regular students, repeaters report that teachers are better in the individual treatment of students and in the instilment of capacity for individual study. However, a higher proportion of these low achieving students results in a deterioration of teachers’ pedagogical practices, has detrimental effects on the quality of inter-student relationships and the relationships between teachers and students, and increases the level of violence and classroom disruptions.

Suggested Citation

  • Lavy, Victor & Paserman, Daniele & Schlosser, Analila, 2008. "Inside the Black of Box of Ability Peer Effects: Evidence from Variation in Low Achievers in the Classroom," Foerder Institute for Economic Research Working Papers 275712, Tel-Aviv University > Foerder Institute for Economic Research.
  • Handle: RePEc:ags:isfiwp:275712
    DOI: 10.22004/ag.econ.275712
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    2. Stephen Gibbons & Olmo Silva & Felix Weinhardt, 2013. "Everybody Needs Good Neighbours? Evidence from Students’ Outcomes in England," Economic Journal, Royal Economic Society, vol. 123, pages 831-874, September.
    3. Stephen L. Ross, 2009. "Social Interactions within Cities: Neighborhood Environments and Peer Relationships," Working papers 2009-31, University of Connecticut, Department of Economics.
    4. Steven N. Durlauf & Yannis M. Ioannides, 2010. "Social Interactions," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 451-478, September.
    5. Nicole Schneeweis & Martina Zweimüller, 2014. "Early Tracking and the Misfortune of Being Young," Scandinavian Journal of Economics, Wiley Blackwell, vol. 116(2), pages 394-428, April.
    6. Gibbons, Stephen & Machin, Stephen & Silva, Olmo, 2013. "Valuing school quality using boundary discontinuities," Journal of Urban Economics, Elsevier, vol. 75(C), pages 15-28.
    7. 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.
    8. Machin, Stephen, 2011. "Houses and schools: Valuation of school quality through the housing market," Labour Economics, Elsevier, vol. 18(6), pages 723-729.
    9. 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.
    10. Robert Bifulco & Jason M. Fletcher & Stephen L. Ross, 2011. "The Effect of Classmate Characteristics on Post-secondary Outcomes: Evidence from the Add Health," American Economic Journal: Economic Policy, American Economic Association, vol. 3(1), pages 25-53, February.
    11. Robert Bifulco & Jason M. Fletcher & Sun Jung Oh & Stephen L. Ross, 2012. "Do Classmate Effects Fade Out?," NBER Working Papers 18648, National Bureau of Economic Research, Inc.
    12. Edwin Leuven & Marte Rønning, 2016. "Classroom Grade Composition and Pupil Achievement," Economic Journal, Royal Economic Society, vol. 126(593), pages 1164-1192, June.
    13. Lorraine Dearden & John Micklewright & Anna Vignoles, 2011. "The Effectiveness of English Secondary Schools for Pupils of Different Ability Levels," Fiscal Studies, Institute for Fiscal Studies, vol. 32(2), pages 225-244, June.
    14. Stephen Gibbons & Olmo Silva & Felix Weinhardt, 2010. "Do Neighbours Affect Teenage Outcomes? Evidence from Neighbourhood Changes in England," SERC Discussion Papers 0063, Centre for Economic Performance, LSE.
    15. Bifulco, Robert & Fletcher, Jason M. & Oh, Sun Jung & Ross, Stephen L., 2014. "Do high school peers have persistent effects on college attainment and other life outcomes?," Labour Economics, Elsevier, vol. 29(C), pages 83-90.
    16. Robert Bifulco & Jason Fletcher & Stephen Ross, 2008. "The Effect of Classmate Characteristics on Individual Outcomes: Evidence from the Add Health," Working papers 2008-21, University of Connecticut, Department of Economics, revised Jan 2009.
    17. Arlen Guarín & Carlos Medina & Christian Posso, 2018. "Calidad, cobertura y costo ocultos de la educación secundaria pública y privada en Colombia," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, vol. 81(2), August.
    18. Arlen Guarín & Carlos Medina & Christian Posso, 2017. "Calidad y Cobertura de la Educación Secundaria Pública y Privada en Colombia, y sus Costos Ocultos," Borradores de Economia 1006, Banco de la Republica de Colombia.

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