2007
DOI: 10.1016/j.jhealeco.2006.11.005
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“It wasn’t me, it was them!” Social influence in risky behavior by adolescents

Abstract: Many years of concerted policy effort in Western countries has not prevented young people from experimenting with cigarettes, alcohol and marijuana. One potential explanation is that social interactions make consumption "sticky". We use detailed panel data from the Add Health survey to examine risky behavior (the consumption of tobacco, alcohol and marijuana) by American adolescents. We find that, even controlling for school fixed effects, these behaviors are correlated with lagged peer group behavior. Peer gr… Show more

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Cited by 236 publications
(227 citation statements)
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“…Using lagged friends' cannabis use (defined either as the cannabis use at t of friends nominated at t-1, or like Clark and Lohéac (2007) as the cannabis use at t-1 of friends nominated at t) in the fixed effects model gives a small positive and statistically significant coefficient, though in each case we see a dilution of the effect compared to that estimated for current friends' current use. Clark and Lohéac (2007) argue that using the lag of peer behaviour in place of current peer behaviour avoids Manski's reflection problem, so obviating the need for the no contextual effects assumption.…”
Section: A C C E P T E D Accepted Manuscriptmentioning
confidence: 81%
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“…Using lagged friends' cannabis use (defined either as the cannabis use at t of friends nominated at t-1, or like Clark and Lohéac (2007) as the cannabis use at t-1 of friends nominated at t) in the fixed effects model gives a small positive and statistically significant coefficient, though in each case we see a dilution of the effect compared to that estimated for current friends' current use. Clark and Lohéac (2007) argue that using the lag of peer behaviour in place of current peer behaviour avoids Manski's reflection problem, so obviating the need for the no contextual effects assumption.…”
Section: A C C E P T E D Accepted Manuscriptmentioning
confidence: 81%
“…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%
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