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A discrete choice model with social interactions; with an application to high school teen behavior

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  • Soetevent, Adriaan R.
  • Kooreman, Peter

    (Groningen University)

Abstract

We develop an empirical discrete choice interaction model with a finite number of agents. We characterize its equilibrium properties - in particular the correspondence between the interaction strength, the number of agents, and the set of equilibria - and propose to estimate the model by means of simulation methods. In an empirical application, we analyze the individual behavior of some 8000 high school teenagers from almost 500 different school classes. We find endogenous social interaction effects to be strong for behavior closely related to school (truancy), somewhat weaker for behavior partly related to school (smoking, cell phone ownership, and moped ownership) and absent for behavior far away from school (asking parents' permission for purchases). Intra-gender interactions are generally much stronger than cross-gender interactions

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File URL: http://irs.ub.rug.nl/ppn/263316173
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Bibliographic Info

Paper provided by University of Groningen, CCSO Centre for Economic Research in its series CCSO Working Papers with number 200401.

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Date of creation: 2004
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Handle: RePEc:dgr:rugccs:200401

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  1. Kapteyn, Arie, et al, 1997. "Interdependent Preferences: An Econometric Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(6), pages 665-86, Nov.-Dec..
  2. Charles F. Manski, 2000. "Economic Analysis of Social Interactions," NBER Working Papers 7580, National Bureau of Economic Research, Inc.
  3. Stern, Steven, 1992. "A Method for Smoothing Simulated Moments of Discrete Probabilities in Multinomial Probit Models," Econometrica, Econometric Society, vol. 60(4), pages 943-52, July.
  4. Vives, Xavier, 1990. "Nash equilibrium with strategic complementarities," Journal of Mathematical Economics, Elsevier, vol. 19(3), pages 305-321.
  5. Kooreman, Peter, 1994. "Estimation of Econometric Models of Some Discrete Games," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 9(3), pages 255-68, July-Sept.
  6. Brian Krauth, 2006. "Social interactions in small groups," Canadian Journal of Economics, Canadian Economics Association, vol. 39(2), pages 414-433, May.
  7. Kent Smetters & Jennifer Gravelle, 2001. "The Exchange Theory of Teenage Smoking and the Counterproductiveness of Moderate Regulation," NBER Working Papers 8262, National Bureau of Economic Research, Inc.
  8. Aronsson, Thomas & Blomquist, Sören & Sacklén, Hans, 1998. "Identifying Interdependent Behavior in an Empirical Model of Labor Supply," Working Paper Series 147, Trade Union Institute for Economic Research.
  9. Alejandro Gaviria & Steven Raphael, 2001. "School-Based Peer Effects And Juvenile Behavior," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 257-268, May.
  10. Brock,W.A. & Durlauf,S.N., 2000. "Discrete choice with social interactions," Working papers 7, Wisconsin Madison - Social Systems.
  11. Arcidiacono, Peter & Nicholson, Sean, 2005. "Peer effects in medical school," Journal of Public Economics, Elsevier, vol. 89(2-3), pages 327-350, February.
  12. Kooreman, P., 1994. "Estimation of econometric models of some discrete games," Open Access publications from Tilburg University urn:nbn:nl:ui:12-377584, Tilburg University.
  13. Pollak, Robert A, 1976. "Interdependent Preferences," American Economic Review, American Economic Association, vol. 66(3), pages 309-20, June.
  14. Esther Duflo & Emmanuel Saez, 2003. "The Role Of Information And Social Interactions In Retirement Plan Decisions: Evidence From A Randomized Experiment," The Quarterly Journal of Economics, MIT Press, vol. 118(3), pages 815-842, August.
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