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Peer effects identified through social networks. Evidence from Uruguayan schools

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  • Gioia De Melo

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Abstract

This paper provides evidence on peer effects in educational achievement exploiting for the first time a unique data set on social networks within primary schools in Uruguay. The relevance of peer effects in education is still largely debated due to the identification challenges that the study of social interactions poses. I adopt a recently developed identification method that exploits detailed information on social networks, i.e. individual-specific peer groups. This method enables me to disentangle endogenous effects from contextual effects via instrumental variables that emerge naturally from the network structure. Correlated effects are controlled, to some extent, by classroom fixed effects. I find significant endogenous effects in standardized tests for reading and math. A one standard deviation increase in peers’ test score increases the individual’s test score by 40% of a standard deviation. This magnitude is comparable to the effect of having a mother that completed college. By means of a simulation I illustrate that when schools are stratified by socioeconomic status peer effects may operate as amplifiers of educational inequalities.

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Bibliographic Info

Paper provided by Department of Economics, University of Siena in its series Department of Economics University of Siena with number 627.

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Date of creation: Nov 2011
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Handle: RePEc:usi:wpaper:627

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Cited by:
  1. Bet Caeyers, 2014. "Exclusion bias in empirical social interaction models: causes, consequences and solutions," CSAE Working Paper Series 2014-05, Centre for the Study of African Economies, University of Oxford.
  2. Bet Caeyers, 2014. "Peer effects in development programme awareness of vulnerable groups in rural Tanzania," CSAE Working Paper Series 2014-11, Centre for the Study of African Economies, University of Oxford.
  3. Landini, Fabio & Montinari, Natalia & Pin, Paolo & Piovesan, Marco, 2014. "Friendship Network in the Classroom: Parent Bias and Peer Effects," Working Papers 2014:19, Lund University, Department of Economics.

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