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Peer Effects and Social Networks in Education and Crime

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Author Info

  • Calvó-Armengol, Antoni

    (ICREA and Universitat Autònoma de Barcelona)

  • Patacchini, Eleonora

    (Università di Roma "La Sapienza")

  • Zenou, Yves

    ()
    (The Research Institute of Industrial Economics)

Abstract

This paper studies whether structural properties of friendship networks affect individual outcomes in education and crime. 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 Bonacich centrality measure. This measure takes into account both direct and indirect friends of each individual but puts less weight to her distant friends. 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 Bonacich centrality) is a key determinant of her level of activity. A standard deviation increase in the Bonocich centrality increases the level of individual delinquency by 45% of one standard deviation and the pupil school performance by 34% of one standard deviation.

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Bibliographic Info

Paper provided by Research Institute of Industrial Economics in its series Working Paper Series with number 645.

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Length: 37 pages
Date of creation: 05 Jul 2005
Date of revision:
Handle: RePEc:hhs:iuiwop:0645

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Postal: Research Institute of Industrial Economics, Box 55665, SE-102 15 Stockholm, Sweden
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Fax: +46 8 665 4599
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Web page: http://www.ifn.se/
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Related research

Keywords: Centrality Measure; Peer Influence; Network Structure; Delinquency; School Performance;

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References

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  1. Coralio Ballester & Antoni Calvó-Armengol & Yves Zenou, 2004. "Who's Who in Networks. Wanted: The Key Player," Working Papers 178, Barcelona Graduate School of Economics.
  2. Yannis M. Ioannides & Linda Datcher Loury, 2002. "Job Information Networks, Neighborhood Effects and Inequality," Discussion Papers Series, Department of Economics, Tufts University 0217, Department of Economics, Tufts University.
  3. Edward E. Glaeser & Bruce Sacerdote & Jose A. Scheinkman, 1995. "Crime and Social Interactions," Harvard Institute of Economic Research Working Papers 1738, Harvard - Institute of Economic Research.
  4. Matt Jackson, 2003. "The Effects of Social Networks on Employment and Inequality," Theory workshop papers 658612000000000032, UCLA Department of Economics.
  5. Topa, Giorgio, 2001. "Social Interactions, Local Spillovers and Unemployment," Review of Economic Studies, Wiley Blackwell, vol. 68(2), pages 261-95, April.
  6. Durlauf, Steven N., 2004. "Neighborhood effects," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 50, pages 2173-2242 Elsevier.
  7. Anna Aizer & Janet Currie, 2002. "Networks or Neighborhoods? Correlations in the Use of Publicly-Funded Maternity Care in California," NBER Working Papers 9209, National Bureau of Economic Research, Inc.
  8. Benabou, Roland, 1993. "Workings of a City: Location, Education, and Production," The Quarterly Journal of Economics, MIT Press, vol. 108(3), pages 619-52, August.
  9. Antoni Calvó-Armengol & Yves Zenou, 2004. "Social Networks And Crime Decisions: The Role Of Social Structure In Facilitating Delinquent Behavior," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(3), pages 939-958, 08.
  10. Anne C. Case & Lawrence F. Katz, 1991. "The Company You Keep: The Effects of Family and Neighborhood on Disadvantaged Youths," NBER Working Papers 3705, National Bureau of Economic Research, Inc.
  11. Yann Bramoulle & Rachel Kranton, 2005. "Strategic Experimentation in Networks," NajEcon Working Paper Reviews 784828000000000417, www.najecon.org.
  12. Sah, Raaj K, 1991. "Social Osmosis and Patterns of Crime," Journal of Political Economy, University of Chicago Press, vol. 99(6), pages 1272-95, December.
  13. Jackson, Matthew O. & Rogers, Brian W., 2005. "Search in the formation of large networks: How random are socially generated networks?," Working Papers 1216, California Institute of Technology, Division of the Humanities and Social Sciences.
  14. Matthew O. Jackson, 2003. "A Survey of Models of Network Formation: Stability and Efficiency," Game Theory and Information 0303011, EconWPA.
  15. George A. Akerlof, 1997. "Social Distance and Social Decisions," Econometrica, Econometric Society, vol. 65(5), pages 1005-1028, September.
  16. Evans, William N & Oates, Wallace E & Schwab, Robert M, 1992. "Measuring Peer Group Effects: A Study of Teenage Behavior," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 966-91, October.
  17. Benabou, R., 1991. "Location, Education, and Production," Working papers 582, Massachusetts Institute of Technology (MIT), Department of Economics.
  18. 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.
  19. Dan Silverman, 2004. "Street Crime And Street Culture," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(3), pages 761-786, 08.
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Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Crime, race & incentives
    by chris dillow in Stumbling and Mumbling on 2009-12-13 14:21:16
  2. Evidence for peer effects
    by chris dillow in Stumbling and Mumbling on 2008-06-25 09:28:45
  3. Character vs circumstance
    by chris dillow in Stumbling and Mumbling on 2008-06-12 13:15:15
  4. "Social cleansing" and network effects
    by chris dillow in Stumbling and Mumbling on 2012-04-24 14:28:05
  5. "Social cleansing" and network effects
    by chris dillow in Stumbling and Mumbling on 2012-04-24 14:28:05
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