IDEAS home Printed from https://ideas.repec.org/p/cir/cirwor/2022s-25.html
   My bibliography  Save this paper

Heterogeneous peer effects and gender-based interventions for teenage obesity

Author

Listed:
  • Margherita Comola
  • Rokhaya Dieye
  • Bernard Fortin

Abstract

This paper explores the role of gender heterogeneity in the social diffusion of obesity among adolescents and its policy implications. We propose a generalized linear social interaction model which allows for gender-dependent heterogeneity in peer effects through the channel of social synergy. We estimate the model using data on adolescent Body Mass Index and network-based interactions. Our results show that peer effects are gender-dependent, and male students are particularly responsive to the weight of their female friends. Our simulations indicate that female-tailored interventions are likely to be more effective than a gender-neutral approach to fight obesity in schools. Cet article explore le rôle de l'hétérogénéité selon le sexe dans la diffusion sociale de l'obésité chez les adolescents et ses implications politiques. Nous proposons un modèle d’interaction sociale généralisé qui tient compte de l'hétérogénéité des effets des pairs selon le sexe par le biais de la synergie sociale. Nous estimons le modèle à l'aide de données sur l'indice de masse corporelle des adolescents et des liens d’amitié observés dans les réseaux sociaux. Nos résultats montrent que les effets des pairs dépendent du sexe, et que les étudiants masculins sont particulièrement sensibles au poids de leurs amies dans leur comportement de lutte à l’obésité. Nos simulations indiquent que des interventions adaptées aux filles sont susceptibles d'être plus efficaces qu'une approche neutre en termes de genre pour lutter contre l'obésité dans les écoles.

Suggested Citation

  • Margherita Comola & Rokhaya Dieye & Bernard Fortin, 2022. "Heterogeneous peer effects and gender-based interventions for teenage obesity," CIRANO Working Papers 2022s-25, CIRANO.
  • Handle: RePEc:cir:cirwor:2022s-25
    as

    Download full text from publisher

    File URL: https://cirano.qc.ca/files/publications/2022s-25.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Koenig, Michael & Hsieh, Chih-Sheng & Liu, Xiaodong & Zimmermann, Christian, 2020. "Collaboration in Bipartite Networks, with an Application to Coauthorship Networks," CEPR Discussion Papers 15195, C.E.P.R. Discussion Papers.
    2. Fortin, Bernard & Yazbeck, Myra, 2015. "Peer effects, fast food consumption and adolescent weight gain," Journal of Health Economics, Elsevier, vol. 42(C), pages 125-138.
    3. Kenneth I. Wolpin, 2007. "Ex Ante Policy Evaluation, Structural Estimation and Model Selection," American Economic Review, American Economic Association, vol. 97(2), pages 48-52, May.
    4. 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.
    5. Eleonora Patacchini & Edoardo Rainone, 2017. "Social Ties and the Demand for Financial Services," Journal of Financial Services Research, Springer;Western Finance Association, vol. 52(1), pages 35-88, October.
    6. Hsieh, Chih-Sheng & Lin, Xu, 2017. "Gender and racial peer effects with endogenous network formation," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 135-147.
    7. Xiaodong Liu & Eleonora Patacchini & Edoardo Rainone, 2017. "Peer effects in bedtime decisions among adolescents: a social network model with sampled data," Econometrics Journal, Royal Economic Society, vol. 20(3), pages 103-125, October.
    8. Ida Johnsson & Hyungsik Roger Moon, 2021. "Estimation of Peer Effects in Endogenous Social Networks: Control Function Approach," The Review of Economics and Statistics, MIT Press, vol. 103(2), pages 328-345, May.
    9. Cohen-Cole, Ethan & Fletcher, Jason M., 2008. "Is obesity contagious? Social networks vs. environmental factors in the obesity epidemic," Journal of Health Economics, Elsevier, vol. 27(5), pages 1382-1387, September.
    10. Kooreman, P., 2007. "Time, money, peers, and parents : Some data and theories on teenage behavior," Other publications TiSEM 05026f0a-e418-4eb8-a483-7, Tilburg University, School of Economics and Management.
    11. Rees, Daniel I. & Sabia, Joseph J., 2010. "Sports participation and academic performance: Evidence from the National Longitudinal Study of Adolescent Health," Economics of Education Review, Elsevier, vol. 29(5), pages 751-759, October.
    12. Peter Kooreman, 2007. "Time, money, peers, and parents; some data and theories on teenage behavior," Journal of Population Economics, Springer;European Society for Population Economics, vol. 20(1), pages 9-33, February.
    13. Olga Yakusheva & Kandice A. Kapinos & Daniel Eisenberg, 2014. "Estimating Heterogeneous and Hierarchical Peer Effects on Body Weight Using Roommate Assignments as a Natural Experiment," Journal of Human Resources, University of Wisconsin Press, vol. 49(1), pages 234-261.
    14. 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.
    15. Lorenz Goette & David Huffman & Stephan Meier, 2012. "The Impact of Social Ties on Group Interactions: Evidence from Minimal Groups and Randomly Assigned Real Groups," American Economic Journal: Microeconomics, American Economic Association, vol. 4(1), pages 101-115, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chih‐Sheng Hsieh & Hans van Kippersluis, 2018. "Smoking initiation: Peers and personality," Quantitative Economics, Econometric Society, vol. 9(2), pages 825-863, July.
    2. Boucher, Vincent & Fortin, Bernard, 2015. "Some Challenges in the Empirics of the Effects of Networks," IZA Discussion Papers 8896, Institute of Labor Economics (IZA).
    3. Hsieh, Chih-Sheng & Lin, Xu, 2017. "Gender and racial peer effects with endogenous network formation," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 135-147.
    4. 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.
    5. 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..
    6. Fortin, Bernard & Yazbeck, Myra, 2015. "Peer effects, fast food consumption and adolescent weight gain," Journal of Health Economics, Elsevier, vol. 42(C), pages 125-138.
    7. Messina, Julián & Sanz-de-Galdeano, Anna & Terskaya, Anastasia, 2024. "Birds of a Feather Earn Together. Gender and Peer Effects at the Workplace," IZA Discussion Papers 16721, Institute of Labor Economics (IZA).
    8. Xu Lin, 2014. "Network attributes and peer effects," Economics Bulletin, AccessEcon, vol. 34(3), pages 2060-2079.
    9. 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.
    10. Diemer, Andreas, 2022. "Endogenous peer effects in diverse friendship networks: Evidence from Swedish classrooms," Economics of Education Review, Elsevier, vol. 89(C).
    11. Patacchini, Eleonora & Hsieh, Chih-Sheng & Lin, Xu, 2019. "Social Interaction Methods," CEPR Discussion Papers 14141, C.E.P.R. Discussion Papers.
    12. 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.
    13. 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.
    14. Fortin, Bernard & Lacroix, Guy & Villeval, Marie-Claire, 2007. "Tax evasion and social interactions," Journal of Public Economics, Elsevier, vol. 91(11-12), pages 2089-2112, December.
    15. Paolo Buonanno & Paolo Vanin, 2013. "Bowling alone, drinking together," Empirical Economics, Springer, vol. 44(3), pages 1635-1672, June.
    16. Lopez-Mayan, Cristina & Nicodemo, Catia, 2023. "“If my buddies use drugs, will I?” Peer effects on Substance Consumption Among Teenagers," Economics & Human Biology, Elsevier, vol. 50(C).
    17. Gioia De Melo, 2011. "Peer effects identified through social networks. Evidence from Uruguayan schools," Department of Economics University of Siena 627, Department of Economics, University of Siena.
    18. Nie, Peng & Sousa-Poza, Alfonso & He, Xiaobo, 2015. "Peer effects on childhood and adolescent obesity in China," China Economic Review, Elsevier, vol. 35(C), pages 47-69.
    19. Paul Frijters & Asad Islam & Chitwan Lalji & Debayan Pakrashi, 2019. "Roommate effects in health outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 28(8), pages 998-1034, August.
    20. Jebaraj Asirvatham & Michael R. Thomsen & Rodolfo M. Nayga & Heather L. Rouse, 2018. "Do peers affect childhood obesity outcomes? Peer‐effect analysis in public schools," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 51(1), pages 216-235, February.

    More about this item

    Keywords

    Obesity; Social Networks; Gender; Heterogeneity; Obésité; Réseaux sociaux; Genre; Hétérogénéité;
    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cir:cirwor:2022s-25. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Webmaster (email available below). General contact details of provider: https://edirc.repec.org/data/ciranca.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.