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Peer effects in adolescents' delinquent behaviors: Evidence from a binary choice network model

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  • Lin, Xu

Abstract

This paper studies peer influences in adolescents' deviant behaviors, including drinking alcohol, doing dangerous things, skipping school and physical fighting, by a binary choice network model with heterogenous rational expectations proposed in Lee et al. (in press). For a wide range of parameter values for social interactions, this model has a unique equilibrium and is not subject to multiple equilibria and other model coherency related issues for discrete choice models. I specify peer reference group based on actual friendship networks. The data are from the National Longitudinal Study of Adolescent Health (Add Health). A school fixed effect strategy is employed to control for the confounding effects. Two ways of calculating marginal effects are evaluated. Robustness analysis is performed with regard to several alternative spatial weights matrices. I find that both endogenous and contextual effects exist in all the activities considered, even after controlling for school fixed effects. Similar to the case of continuous variables, the results are robust to several alternative specifications of the weighting matrix based on friend heterogeneity, providing justification for the common practice of assigning equal weight among friends. The changes in the results under the friendship reciprocity assumption indicate the relevance of the real friendship nomination network.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:regeco:v:46:y:2014:i:c:p:73-92
    DOI: 10.1016/j.regsciurbeco.2014.02.001
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    Citations

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    Cited by:

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    2. Fang Di & Richards Timothy J. & Grebitus Carola, 2019. "Modeling Product Choices in a Peer Network," Forum for Health Economics & Policy, De Gruyter, vol. 22(1), pages 1-13, June.
    3. Olugbenga Ajilore & Gayle Alberda, 2017. "Peer Effects and Political Participation: What is the Role of Coursework Clusters?," The Review of Regional Studies, Southern Regional Science Association, vol. 47(1), pages 47-62, Winter.
    4. Ana Balsa & Carlos Díaz, 2018. "Social interactions in health behaviors and conditions," Documentos de Trabajo/Working Papers 1802, Facultad de Ciencias Empresariales y Economia. Universidad de Montevideo..
    5. Mathieu Lambotte & Sandrine Mathy & Anna Risch & Carole Treibich, 2022. "Spreading active transportation: peer effects and key players in the workplace," Working Papers 2022-02, Grenoble Applied Economics Laboratory (GAEL).
    6. Cheng, Tyrone C. & Li, Qingyi, 2017. "Adolescent delinquency in child welfare system: A multiple disadvantage model," Children and Youth Services Review, Elsevier, vol. 73(C), pages 205-212.
    7. Benjamin Elsner & Ingo E. Isphording, 2018. "Rank, Sex, Drugs, and Crime," Journal of Human Resources, University of Wisconsin Press, vol. 53(2), pages 356-381.
    8. Kim, Changjoo & Parent, Olivier, 2016. "Modeling individual travel behaviors based on intra-household interactions," Regional Science and Urban Economics, Elsevier, vol. 57(C), pages 1-11.
    9. Xu Lin, 2015. "Utilizing spatial autoregressive models to identify peer effects among adolescents," Empirical Economics, Springer, vol. 49(3), pages 929-960, November.

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    More about this item

    Keywords

    Peer effect; Discrete choice; Deviant behavior; Rational expectation; Heterogeneity; Endogenous effects; Contextual effect; Friendship network;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • I10 - Health, Education, and Welfare - - Health - - - General
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth

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