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Utilizing spatial autoregressive models to identify peer effects among adolescents

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  • Xu Lin

Abstract

This study analyzes peer influences in a variety of adolescent developmental outcomes and explores the robustness of the results with regard to alternative specifications of the interaction matrix and the model. I employ the spatial autoregressive (SAR) model with group fixed effects in Lee et al. (Econom J 13(2):145–176, 2010 ) to separately identify endogenous, contextual, and correlated effects. I find evidence for both endogenous and contextual effects for all outcomes under consideration, even after controlling for confounding effects. I also find that a simple spatial weights matrix with equal weight among friends will serve the estimation purpose satisfactorily for the standard SAR model with a single row-normalized weighting matrix. The results are sensitive to the friendship reciprocity assumption as well as alternative model specifications. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Xu Lin, 2015. "Utilizing spatial autoregressive models to identify peer effects among adolescents," Empirical Economics, Springer, vol. 49(3), pages 929-960, November.
    • Handle: RePEc:spr:empeco:v:49:y:2015:i:3:p:929-960
    DOI: 10.1007/s00181-014-0897-4
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    1. Peter Kooreman & Adriaan R. Soetevent, 2007. "A discrete-choice model with social interactions: with an application to high school teen behavior," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 599-624.
    2. Robert Bifulco & Jason M. Fletcher & Stephen L. Ross, 2011. "The Effect of Classmate Characteristics on Post-secondary Outcomes: Evidence from the Add Health," American Economic Journal: Economic Policy, American Economic Association, vol. 3(1), pages 25-53, February.
    3. Jacob M. Markman & Eric A. Hanushek & John F. Kain & Steven G. Rivkin, 2003. "Does peer ability affect student achievement?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(5), pages 527-544.
    4. David J. Zimmerman, 2003. "Peer Effects in Academic Outcomes: Evidence from a Natural Experiment," The Review of Economics and Statistics, MIT Press, vol. 85(1), pages 9-23, February.
    5. Aaron Sojourner, 2013. "Identification of Peer Effects with Missing Peer Data: Evidence from Project STAR," Economic Journal, Royal Economic Society, vol. 123(569), pages 574-605, June.
    6. Lundborg, Petter, 2006. "Having the wrong friends? Peer effects in adolescent substance use," Journal of Health Economics, Elsevier, vol. 25(2), pages 214-233, March.
    7. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    8. Bramoullé, Yann & Djebbari, Habiba & Fortin, Bernard, 2009. "Identification of peer effects through social networks," Journal of Econometrics, Elsevier, vol. 150(1), pages 41-55, May.
    9. David Card & Laura Giuliano, 2013. "Peer Effects and Multiple Equilibria in the Risky Behavior of Friends," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1130-1149, October.
    10. Paul Goldsmith-Pinkham & Guido W. Imbens, 2013. "Social Networks and the Identification of Peer Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 253-264, July.
    11. Duarte, R. & Escario, J.J., 2006. "Alcohol abuse and truancy among Spanish adolescents: A count-data approach," Economics of Education Review, Elsevier, vol. 25(2), pages 179-187, April.
    12. Krauth, Brian V., 2006. "Simulation-based estimation of peer effects," Journal of Econometrics, Elsevier, vol. 133(1), pages 243-271, July.
    13. Bruce Sacerdote, 2001. "Peer Effects with Random Assignment: Results for Dartmouth Roommates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 681-704.
    14. Caroline Hoxby, 2000. "Peer Effects in the Classroom: Learning from Gender and Race Variation," NBER Working Papers 7867, National Bureau of Economic Research, Inc.
    15. Antoni Calvó-Armengol & Eleonora Patacchini & Yves Zenou, 2009. "Peer Effects and Social Networks in Education," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(4), pages 1239-1267.
    16. Arcidiacono, Peter & Nicholson, Sean, 2005. "Peer effects in medical school," Journal of Public Economics, Elsevier, vol. 89(2-3), pages 327-350, February.
    17. Ryo Nakajima, 2007. "Measuring Peer Effects on Youth Smoking Behaviour," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(3), pages 897-935.
    18. Clark, Andrew E. & Loheac, Youenn, 2007. ""It wasn't me, it was them!" Social influence in risky behavior by adolescents," Journal of Health Economics, Elsevier, vol. 26(4), pages 763-784, July.
    19. Michael Kremer & Dan Levy, 2008. "Peer Effects and Alcohol Use among College Students," Journal of Economic Perspectives, American Economic Association, vol. 22(3), pages 189-206, Summer.
    20. Charles F. Manski, 2000. "Economic Analysis of Social Interactions," Journal of Economic Perspectives, American Economic Association, vol. 14(3), pages 115-136, Summer.
    21. Roebuck, M. Christopher & French, Michael T. & Dennis, Michael L., 2004. "Adolescent marijuana use and school attendance," Economics of Education Review, Elsevier, vol. 23(2), pages 133-141, April.
    22. Rivkin, Steven G., 2001. "Tiebout sorting, aggregation and the estimation of peer group effects," Economics of Education Review, Elsevier, vol. 20(3), pages 201-209, June.
    23. Zenou, Yves & Patacchini, Eleonora & Rainone, Edoardo, 2011. "Dynamic Aspects of Teenage Friendships and Educational Attainment," CEPR Discussion Papers 8223, C.E.P.R. Discussion Papers.
    24. Jason Fletcher, 2012. "Peer influences on adolescent alcohol consumption: evidence using an instrumental variables/fixed effect approach," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(4), pages 1265-1286, October.
    25. 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.
    26. Jeff DeSimone, 2010. "Drinking and academic performance in high school," Applied Economics, Taylor & Francis Journals, vol. 42(12), pages 1481-1497.
    27. Lin, Xu, 2014. "Peer effects in adolescents' delinquent behaviors: Evidence from a binary choice network model," Regional Science and Urban Economics, Elsevier, vol. 46(C), pages 73-92.
    28. Xu Lin, 2010. "Identifying Peer Effects in Student Academic Achievement by Spatial Autoregressive Models with Group Unobservables," Journal of Labor Economics, University of Chicago Press, vol. 28(4), pages 825-860, October.
    29. Powell, Lisa M. & Tauras, John A. & Ross, Hana, 2005. "The importance of peer effects, cigarette prices and tobacco control policies for youth smoking behavior," Journal of Health Economics, Elsevier, vol. 24(5), pages 950-968, September.
    30. Lung-fei Lee & Xiaodong Liu & Xu Lin, 2010. "Specification and estimation of social interaction models with network structures," Econometrics Journal, Royal Economic Society, vol. 13(2), pages 145-176, July.
    31. Greg Duncan & Johanne Boisjoly & Kathleen Mullan Harris, 2001. "Sibling, peer, neighbor, and schoolmate correlations as indicators of the importance of context for adolescent development," Demography, Springer;Population Association of America (PAA), vol. 38(3), pages 437-447, August.
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    Cited by:

    1. Jonathan Pratschke & Giovanni Abbiati, 2023. "“Like with like” or “do like?” Modeling peer effects in the classroom," Social Science Quarterly, Southwestern Social Science Association, vol. 104(3), pages 265-280, May.
    2. Oleg Poldin & Diliara Valeeva & Maria Yudkevich, 2016. "Which Peers Matter: How Social Ties Affect Peer-group Effects," Research in Higher Education, Springer;Association for Institutional Research, vol. 57(4), pages 448-468, June.
    3. Julián Ramajo & José Manuel Cordero & Miguel Ángel Márquez, 2017. "European regional efficiency and geographical externalities: a spatial nonparametric frontier analysis," Journal of Geographical Systems, Springer, vol. 19(4), pages 319-348, October.
    4. Li, Junbao & Shi, Zhanzhong & He, Chengying & Lv, Chengshuang, 2023. "Peer effects on corporate R&D investment policies: A spatial panel model approach," Journal of Business Research, Elsevier, vol. 158(C).
    5. Arthur Lewbel & Xi Qu & Xun Tang, 2021. "Social Networks with Mismeasured Links," Boston College Working Papers in Economics 1031, Boston College Department of Economics.
    6. Arthur Lewbel & Xi Qu & Xun Tang, 2023. "Social Networks with Unobserved Links," Journal of Political Economy, University of Chicago Press, vol. 131(4), pages 898-946.
    7. Federico Martellosio & Grant Hillier, 2019. "Adjusted QMLE for the spatial autoregressive parameter," Papers 1909.08141, arXiv.org.
    8. Giovanni Abbiati & Jonathan Pratschke, 2021. "‘Like with Like’ or ‘Do Like’? Modelling Peer Effects in The Classroom," CSEF Working Papers 603, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    9. Matias Berthelon & Eric Bettinger & Diana I. Kruger & Alejandro Montecinos-Pearce, 2019. "The Structure of Peers: The Impact of Peer Networks on Academic Achievement," Research in Higher Education, Springer;Association for Institutional Research, vol. 60(7), pages 931-959, November.
    10. Hui Zhao & Ao Lei & Yuhui Li & Dingjun Hong, 2023. "The Sectoral and Regional Peer Influences on Heavy-Pollution Corporate Environmental, Social, and Governance Performance," Sustainability, MDPI, vol. 15(17), pages 1-42, August.
    11. Presler, Jonathan, 2021. "You Are Who You Eat With: Academic Peer Effects from School Lunch Lines," Working Papers 21-2, Sinquefield Center for Applied Economic Research, Saint Louis University.
    12. Bernhard Christopher Dannemann, 2020. "Better Off On Their Own? How Peer Effects Determine International Patterns of the Mathematics Gender Achievement Gap," Working Papers V-433-20, University of Oldenburg, Department of Economics, revised Nov 2020.
    13. Jonathan Norris, 2019. "Identify economics: social influence and skill development," Working Papers 1908, University of Strathclyde Business School, Department of Economics.
    14. Presler, Jonathan L., 2022. "You are who you eat with: Academic peer effects from school lunch lines," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 43-58.
    15. Martellosio, Federico & Hillier, Grant, 2020. "Adjusted QMLE for the spatial autoregressive parameter," Journal of Econometrics, Elsevier, vol. 219(2), pages 488-506.

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    More about this item

    Keywords

    Peer effect; Spatial autoregressive; Friendship network; Heterogeneity; C21; I21; J13;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth

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