Peer Effects and Social Networks in Education
Abstract
This paper studies whether structural properties of friendship networks affect individual outcomes in education. We first develop a model that shows that, at the Nash equilibrium, the outcome of each individual embedded in a network is proportional to her Katz-Bonacich centrality measure. This measure takes into account both direct and indirect friends of each individual but puts less weight to her distant friends. We then bring the model to the data by using a very detailed dataset of adolescent friendship networks. We show that, after controlling for observable individual characteristics and unobservable network specific factors, the individual's position in a network (as measured by her Katz-Bonacich centrality) is a key determinant of her level of activity. A standard deviation increase in the Katz-Bonacich centrality increases the pupil school performance by more than 7 percent of one standard deviation.Download Info
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Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 3859.Length: 61 pages
Date of creation: Nov 2008
Date of revision:
Publication status: published in: Review of Economic Studies, 2009, 76, 1239-1267
Handle: RePEc:iza:izadps:dp3859
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Related research
Keywords: school performance; centrality measure; peer influence; network structure;Other versions of this item:
- Antoni Calv�-Armengol & Eleonora Patacchini & Yves Zenou, 2009. "Peer Effects and Social Networks in Education," Review of Economic Studies, Oxford University Press, vol. 76(4), pages 1239-1267.
- Calvó-Armengol, Antoni & Patacchini, Eleonora & Zenou, Yves, 2008. "Peer Effects and Social Networks in Education," CEPR Discussion Papers 7060, C.E.P.R. Discussion Papers.
- Antoni Calvo-Armengol & Eleonora Patacchini & Yves Zenou, 2008. "Peer Effects and Social Networks in Education," CReAM Discussion Paper Series 0814, Centre for Research and Analysis of Migration (CReAM), Department of Economics, University College London.
- A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
- C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
- I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-12-07 (All new papers)
- NEP-EDU-2008-12-07 (Education)
- NEP-HRM-2008-12-07 (Human Capital & Human Resource Management)
- NEP-LAB-2008-12-07 (Labour Economics)
- NEP-NET-2008-12-07 (Network Economics)
- NEP-SOC-2008-12-07 (Social Norms & Social Capital)
- NEP-URE-2008-12-07 (Urban & Real Estate Economics)
References
References listed on IDEASPlease report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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Citations
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As found by EconAcademics.org, the blog aggregator for Economics research:- Crime, unemployment & peer effects
by chris dillow in Stumbling and Mumbling on 2011-10-20 14:18:18
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