Estimating Peer Effects in Adolescent Smoking Behavior: A Longitudinal Analysis

Ali, Mir M.; Dwyer, Debra Sabatini

doi:10.1016/j.jadohealth.2009.02.004

Cited by 126 publications

(108 citation statements)

References 18 publications

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“…will generate spillovers to other group members through the peer effect. Correlated and contextual effects do not generate multiplier effects (Ali and Dwyer, 2009;Fletcher, 2010;Manski, 2000).…”

Section: Introductionmentioning

confidence: 96%

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Peer Effects and Youth Smoking in the European Global Youth Tobacco Survey

Nikaj

2017

Review of Economic Perspectives

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This paper investigates the effect of peer smoking on individual smoking among youths in 10 countries that participated in the European Global Youth Tobacco Survey (GYTS). I control for endogeneity in school selection and unobserved schoollevel characteristics through the use of school fixed-effects. I use instrumental variables to address the simultaneity in peer and individual behaviours. Identification arises by comparing students in different classes within the same school. On average, an increase in the share of classmates who smoke by 10 percentage points increases the probability that an individual in that class will smoke by 3 to 6.9 percentage points. The results imply that any policy intervention such as anti-smoking messages, smoking bans, or higher cigarette prices will be even more cost-effective because of the social multiplier effect of peers -policies affecting some individuals in a group will generate spillovers to others through the peer effect.

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Section: Introductionmentioning

confidence: 96%

“…A growing literature in the US and several studies from Europe have examined the role of peer influence in smoking (Ali and Dwyer, 2009;Powell et. al.…”

Section: Introductionmentioning

confidence: 99%

Peer Effects and Youth Smoking in the European Global Youth Tobacco Survey

Nikaj

2017

Review of Economic Perspectives

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“…Along the lines of Clark and Lohéac (2007), Ali and Dwyer (2009), Ali et al (2011) and Halliday and Kwak (2012), we first specify a linear-in-means model, estimated by OLS, as follows:…”

Section: Cross-sectional IV Estimatesmentioning

confidence: 99%

“…We therefore follow several earlier studies by instrumenting for ܻ ത and adopting a two stage least squares approach (e.g. Ali and Dwyer, 2009, who instrument for peer behaviour using the…”

Section: Cross-sectional IV Estimatesmentioning

confidence: 99%

“…Clark and Lohéac, 2007), by using various peer characteristics -such as percentage of peers whose parents smoke, who live with both biological parents, or who report having easy access to cigarettes or alcohol at home -to instrument for peer behaviour (e.g. Ali and Dwyer, 2009;Ali et al, 2011;Card and Giuliano, 2013;Halliday and Kwak, 2012), or by exploiting the mobility of school friends, either from switching schools or from graduating (Eisenberg, 2004). Where they look at cannabis use, these studies tend to report positive and significant, and in the case of Ali et al (2011) quite large, peer effects.…”

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confidence: 99%

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