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Peer and Selection Effects on Youth Smoking in California

  • Krauth, Brian V.

A number of studies have indicated that peer smoking is a highly influential factor in a young person's decision to smoke. However, these results are suspect because the studies often fail to account for selection and simultaneity bias. This paper develops an econometric model of youth smoking which incorporates both peer effects and selection effects, and estimates its parameters using data on California youth. Identification is achieved by using the degree of selection on observables as a proxy for the degree of selection on unobservables. The results indicate that the influence of peers on a young person's decision to smoke is much weaker than is suggested by reduced form models.

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Article provided by American Statistical Association in its journal Journal of Business and Economic Statistics.

Volume (Year): 25 (2007)
Issue (Month): (July)
Pages: 288-298

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Handle: RePEc:bes:jnlbes:v:25:y:2007:p:288-298
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  1. Philip DeCicca & Donald Kenkel & Alan Mathios, 2002. "Putting Out the Fires: Will Higher Taxes Reduce the Onset of Youth Smoking?," Journal of Political Economy, University of Chicago Press, vol. 110(1), pages 144-169, February.
  2. Donald W. K. Andrews, 2000. "Inconsistency of the Bootstrap when a Parameter Is on the Boundary of the Parameter Space," Econometrica, Econometric Society, vol. 68(2), pages 399-406, March.
  3. Brian Krauth, 2004. "Simulation-based estimation of peer effects," Econometrics 0408002, EconWPA.
  4. repec:ner:tilbur:urn:nbn:nl:ui:12-377584 is not listed on IDEAS
  5. Caroline Hoxby, 2000. "Peer Effects in the Classroom: Learning from Gender and Race Variation," NBER Working Papers 7867, National Bureau of Economic Research, Inc.
  6. Brock,W.A. & Durlauf,S.N., 2000. "Discrete choice with social interactions," Working papers 7, Wisconsin Madison - Social Systems.
  7. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
  8. Michael A. Boozer & Stephen E. Cacciola, 2001. "Inside the 'Black Box' of Project STAR: Estimation of Peer Effects Using Experimental Data," Working Papers 832, Economic Growth Center, Yale University.
  9. 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.
  10. Elie Tamer, 2003. "Incomplete Simultaneous Discrete Response Model with Multiple Equilibria," Review of Economic Studies, Wiley Blackwell, vol. 70(1), pages 147-165, January.
  11. 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.
  12. repec:att:wimass:9127 is not listed on IDEAS
  13. Bruce Sacerdote, 2001. "Peer Effects With Random Assignment: Results For Dartmouth Roommates," The Quarterly Journal of Economics, MIT Press, vol. 116(2), pages 681-704, May.
  14. Donald S. Kenkel & Robert R. Reed III & Ping Wang, 2002. "Rational Addiction, Peer Externalities and Long Run Effects of Public Policy," NBER Working Papers 9249, National Bureau of Economic Research, Inc.
  15. Hajivassiliou, Vassilis & McFadden, Daniel & Ruud, Paul, 1996. "Simulation of multivariate normal rectangle probabilities and their derivatives theoretical and computational results," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 85-134.
  16. Edward C. Norton & Richard C. Lindrooth & Susan T. Ennett, 1998. "Controlling for the endogeneity of peer substance use on adolescent alcohol and tobacco use," Health Economics, John Wiley & Sons, Ltd., vol. 7(5), pages 439-453.
  17. Manski, Charles F, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," Review of Economic Studies, Wiley Blackwell, vol. 60(3), pages 531-42, July.
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