Peer Effects, Fast Food Consumption and Adolescent Weight Gain *

This paper aims at opening the black box of peer effects in adolescent weight gain. Using Add Health data on secondary schools in the U.S., we investigate whether these effects partly flow through the eating habits channel. Adolescents are assumed to interact through a friendship social network. We first propose a social interaction model of fast food consumption. Our approach allows to control for correlated effects at the network level and to solve the simultaneity (reflection) problem. We exploit results by Bramoullé, Djebbari and Fortin (2009) which show that if there are two agents who are separated by a link of distance 3 within a network (i.e., two adolescents who are not friends but are linked by two friends), peer effects are identified. The model is estimated using maximum likelihood and generalized 2SLS strategies. We also estimate a panel dynamic weight gain production function relating an adolescent's Body Mass Index (BMI) to his current fast food consumption and his lagged BMI level. Results show that there are positive significant peer effects in fast food consumption among adolescents belonging to a same friendship school network. The estimated social multiplier is 1.59. Our results also suggest that, at the network level, an extra day of weekly fast food restaurant visits increases BMI by 2.4%, when peer effects are taken into account. Lee for useful discussions. All remaining errors are ours. Financial support from the Canada Research Chair in the Economics of Social Policies and Human Resources and le Centre interuniversitaire sur le risque, les politiqueséconomiques et l'emploi is gratefully acknowledged. Hill, and funded by grant P01-HD31921 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development, with cooperative funding from 23 other federal agencies and foundations.

[1]  T. VanderWeele Sensitivity Analysis for Contagion Effects in Social Networks , 2011, Sociological methods & research.

[2]  M. Weiss,et al.  Peer Effects and the Freshman 15: Evidence from a Natural Experiment , 2010, Economics and human biology.

[3]  Xu Lin,et al.  Identifying Peer Effects in Student Academic Achievement by Spatial Autoregressive Models with Group Unobservables , 2010, Journal of Labor Economics.

[4]  Brendan Nyhan,et al.  The "unfriending" problem: The consequences of homophily in friendship retention for causal estimates of social influence , 2010, Soc. Networks.

[5]  Yannis M. Ioannides,et al.  Identification of Social Interactions , 2010 .

[6]  Russell Lyons,et al.  The Spread of Evidence-Poor Medicine via Flawed Social-Network Analysis , 2010, 1007.2876.

[7]  G. Colditz,et al.  Obesity and Cancer , 2010, The oncologist.

[8]  Cosma Rohilla Shalizi,et al.  Homophily and Contagion Are Generically Confounded in Observational Social Network Studies , 2010, Sociological methods & research.

[9]  R. Florax,et al.  Obesity in Urban Food Markets: Evidence from Geo-referenced Micro Data , 2009 .

[10]  E. Moretti,et al.  AMERICAN ASSOCIATION OF WINE ECONOMISTS AAWE WORKING PAPER No . 33 Economics THE EFFECT OF FAST FOOD RESTAURANTS ON OBESITY , 2009 .

[11]  Francesco Renna,et al.  The effect of friends on adolescent body weight. , 2008, Economics and human biology.

[12]  L. Petersen,et al.  Physical activity in leisure‐time is not associated with 10‐year changes in waist circumference , 2008, Scandinavian journal of medicine & science in sports.

[13]  H. Kelejian,et al.  Specification and Estimation of Spatial Autoregressive Models with Autoregressive and Heteroskedastic Disturbances , 2008, Journal of econometrics.

[14]  R. Rosenheck,et al.  Fast food consumption and increased caloric intake: a systematic review of a trajectory towards weight gain and obesity risk , 2008, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[15]  J. Trogdon,et al.  Journal of Health Economics Peer Effects in Adolescent Overweight , 2022 .

[16]  N. Christakis,et al.  Estimating Peer Effects on Health in Social Networks , 2008, Journal of health economics.

[17]  Jason M. Fletcher,et al.  Is Obesity Contagious? Social Networks vs. Environmental Factors in the Obesity Epidemic , 2008, Journal of Health Economics.

[18]  R. Dunn Obesity and the Availability of Fast-Food: An Instrumental Variables Approach , 2008 .

[19]  Jennifer S. Coelho,et al.  The role of familiarity on modeling of eating and food consumption in children , 2008, Appetite.

[20]  J. Gimble,et al.  Human adenovirus Ad-36 induces adipogenesis via its E4 orf-1 gene , 2008, International Journal of Obesity.

[21]  L. Powell,et al.  Economics of Food Energy Density and Adolescent Body Weight , 2007 .

[22]  Helena C Kraemer,et al.  Effects of fast food branding on young children's taste preferences. , 2007, Archives of pediatrics & adolescent medicine.

[23]  Lisa M Powell,et al.  Food prices, access to food outlets and child weight. , 2009, Economics and human biology.

[24]  Alyce Adams,et al.  Why is the Developed World Obese? , 2007, Annual review of public health.

[25]  Bernard Fortin,et al.  Identification of Peer Effects through Social Networks , 2007, SSRN Electronic Journal.

[26]  Rena R Wing,et al.  Fast food consumption and breakfast skipping: predictors of weight gain from adolescence to adulthood in a nationally representative sample. , 2006, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[27]  Todd R. Stinebrickner,et al.  What can be learned about peer effects using college roommates? Evidence from new survey data and students from disadvantaged backgrounds , 2006 .

[28]  I. Kawachi,et al.  Food taxation and pricing strategies to "thin out" the obesity epidemic. , 2006, American Journal of Preventive Medicine.

[29]  G. Berglund,et al.  Sex differences in the relationships between BMI, WHR and incidence of cardiovascular disease: a population-based cohort study , 2006, International Journal of Obesity.

[30]  Michael Grossman,et al.  Fast‐Food Restaurant Advertising on Television and Its Influence on Childhood Obesity , 2005, The Journal of Law and Economics.

[31]  M. Caraher,et al.  Taxing food: implications for public health nutrition , 2005, Public Health Nutrition.

[32]  Mark Aguiar,et al.  Consumption versus Expenditure , 2005, Journal of Political Economy.

[33]  D. Levitsky,et al.  The freshman weight gain: a model for the study of the epidemic of obesity , 2004, International Journal of Obesity.

[34]  R. Scribner,et al.  Fast food, race/ethnicity, and income: a geographic analysis. , 2004, American journal of preventive medicine.

[35]  F. Pi‐Sunyer,et al.  Obesity and type 2 diabetes. , 2003, Endocrinology and metabolism clinics of North America.

[36]  Graham A Colditz,et al.  Maternal gestational diabetes, birth weight, and adolescent obesity. , 2003, Pediatrics.

[37]  Lung-fei Lee,et al.  Best Spatial Two‐Stage Least Squares Estimators for a Spatial Autoregressive Model with Autoregressive Disturbances , 2003 .

[38]  Jesse M. Shapiro,et al.  Why Have Americans Become More Obese? , 2003 .

[39]  D. Neumark-Sztainer,et al.  Individual and environmental influences on adolescent eating behaviors. , 2002, Journal of the American Dietetic Association.

[40]  James K. Binkley,et al.  CONVENIENCE, ACCESSIBILITY, AND THE DEMAND FOR FAST FOOD , 2001 .

[41]  K. Brownell,et al.  Small taxes on soft drinks and snack foods to promote health. , 2000, American journal of public health.

[42]  T. Marshall Exploring a fiscal food policy: the case of diet and ischaemic heart disease. , 2000, BMJ : British Medical Journal.

[43]  C Rissel,et al.  Health behaviour and the school environment in New South Wales, Australia. , 1999, Social science & medicine.

[44]  H. Kelejian,et al.  A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances , 1998 .

[45]  R. Jeffery,et al.  Epidemic obesity in the United States: are fast foods and television viewing contributing? , 1998, American journal of public health.

[46]  K. Rothman,et al.  Relation between weight and length at birth and body mass index in young adulthood: cohort study , 1997, BMJ.

[47]  D. Williamson,et al.  Weight change and diabetes incidence: findings from a national cohort of US adults. , 1997, American journal of epidemiology.

[48]  B. Lin,et al.  The diets of America's children: influences of dining out, household characteristics, and nutrition knowledge , 1996 .

[49]  C. Manski Identification of Endogenous Social Effects: The Reflection Problem , 1993 .

[50]  M. Arellano,et al.  Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations , 1991 .

[51]  Jon A. Brandt,et al.  Household Consumption of Food-Away-From-Home: Total Expenditure and by Type of Food Facility , 1987 .

[52]  Linda,et al.  Are Restaurants Really Supersizing America ? † By , 2010 .

[53]  Greg Ver Steeg,et al.  Ruling out latent homophily in social networks , 2010 .

[54]  L. Johnston,et al.  Access to fast food and food prices: relationship with fruit and vegetable consumption and overweight among adolescents. , 2007, Advances in health economics and health services research.

[55]  N. Christakis,et al.  SUPPLEMENTARY ONLINE MATERIAL FOR: THE SPREAD OF OBESITY IN A LARGE SOCIAL NETWORK OVER 32 YEARS , 2007 .

[56]  James Jaccard,et al.  Peer influences on risk behavior: an analysis of the effects of a close friend. , 2005, Developmental psychology.

[57]  Mark A Pereira,et al.  Effects of fast-food consumption on energy intake and diet quality among children in a national household survey. , 2004, Pediatrics.

[58]  Cheng Hsiao,et al.  AUTOREGRESSIVE MODELLING AND MONEY-INCOME CAUSALITY DETECTION , 1981 .