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Gender Peer Effects Heterogeneity in Obesity

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  • Rokhaya Dieye
  • Bernard Fortin

Abstract

This paper explores gender peer effects heterogeneity in adolescent Body Mass Index (BMI). We propose a utility-based non-cooperative social network model with effort technology. We allow the gender composition to influence peer effects. We analyze the possibility of recovering the fundamentals of our structural model from the best-response functions. We provide identification conditions of these functions generalizing those of the homogeneous version of the model. Extending Liu and Lee [2010], we consider 2SLS and GMM strategies to estimate our model using Add Health data. We provide tests of homophily in the formation of network and reject them after controlling for network (school) fixed effects. The joint (endogenous plus contextual) gender homogeneous model is rejected. However, we do not reject that the endogenous effects are the same.This suggests that the source of gender peer effects heterogeneity is the contextual effects. We find that peers’ age, parents’ education, health status, and race are relevant for the latter effects and are gender-dependent.
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Suggested Citation

  • Rokhaya Dieye & Bernard Fortin, 2017. "Gender Peer Effects Heterogeneity in Obesity," CIRANO Working Papers 2017s-03, CIRANO.
    • Handle: RePEc:cir:cirwor:2017s-03
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    File URL: https://cirano.qc.ca/files/publications/2017s-03.pdf
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2020. "Peer Effects in Networks: A Survey," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 603-629, August.
    2. Beugnot, Julie & Fortin, Bernard & Lacroix, Guy & Villeval, Marie Claire, 2019. "Gender and peer effects on performance in social networks," European Economic Review, Elsevier, vol. 113(C), pages 207-224.
    3. Beugnot, Julie & Fortin, Bernard & Lacroix, Guy & Villeval, Marie Claire, 2017. "Gender and Peer Effects in Social Networks," IZA Discussion Papers 10588, Institute of Labor Economics (IZA).
    4. Beugnot, Julie & Fortin, Bernard & Lacroix, Guy & Villeval, Marie Claire, 2017. "Gender and Peer Effects in Social Networks," IZA Discussion Papers 10588, Institute of Labor Economics (IZA).
    5. Mathieu Lambotte & Sandrine Mathy & Anna Risch & Carole Treibich, 2022. "Spreading active transportation: peer effects and key players in the workplace," Post-Print hal-03702684, HAL.
    6. Bramoullé, Yann & Boucher, Vincent, 2020. "Binary Outcomes and Linear Interactions," CEPR Discussion Papers 15505, C.E.P.R. Discussion Papers.
    7. Vincent Boucher & Finagnon A. Dedewanou & Arnaud Dufays, 2018. "Peer-Induced Beliefs Regarding College Participation," Cahiers de recherche 1817, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    8. Arduini, Tiziano & Iorio, Daniela & Patacchini, Eleonora, 2019. "Weight, reference points, and the onset of eating disorders," Journal of Health Economics, Elsevier, vol. 65(C), pages 170-188.
    9. Boucher, Vincent & Dedewanou, F. Antoine & Dufays, Arnaud, 2022. "Peer-induced beliefs regarding college participation," Economics of Education Review, Elsevier, vol. 90(C).
    10. 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).

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    More about this item

    Keywords

    Obesity; Social Networks; Gender; Heterogeneity; Peer Effects; Identification; Add Health;
    All these keywords.

    JEL classification:

    • L12 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Monopoly; Monopolization Strategies
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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