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.

Voir le document

Dernières publications

2017RP-02 RP
Politiques favorables à l’innovation en santé
Nadia Benomar, Joanne Castonguay, Marie-Hélène Jobin et François Lespérance
Voir le document

2017RP-01 RP
Évaluation économique du service de premiers répondants sur le territoire de l’agglomération de Montréal
Nathalie de Marcellis-Warin, François Vaillancourt, Ingrid Peignier et Brigitte Bouchard-Milord
(document non-disponible)

2017MO-02 MO
Perception des risques - Baromètre Cirano 2017
Nathalie de Marcellis-Warin et Ingrid Peignier
Voir le document

2017MO-01 MO
Le Québec économique 6 : Le défi des infrastructures
Marcelin Joanis, Andrés Ardila, Josée Beaudoin, Laurent-David Beaulieu, Dorothée Boccanfuso, Bernard Boire, Stéphanie Boulenger, Jean-Philippe Charron, Jean-Claude Cloutier, Bernard Dafflon, Nathalie de Marcellis-Warin, Clélia Desmettre, Kodjovi M. Eklou, Étienne Farvaque, Mario Fortin, Richard Gagné, Roger Galipeau, Stéphanie Lapierre, Geneviève Lefebvre, Jean-Philippe Meloche, Mathieu Paquet, Ingrid Peignier, Serge Pourreaux, Diane Riopel, Luc Savard, Alexandre Skerlj et François Vaillancourt
Voir le document

2017s-05 CS
Forecasting economic activity in data-rich environment
Maxime Leroux, Rachidi Kotchoni et Dalibor Stevanovic
Voir le document


Centre interuniversitaire de recherche en analyse des organisations
1130 rue Sherbrooke Ouest, suite 1400
Montréal, Québec (Canada) H3A 2M8
(514) 985-4000
(514) 985-4039
reception@cirano.qc.ca

© 2017 CIRANO. Tous droits réservés.



Partenaire de :