Department of Economics, University of Toledo, Toledo, Ohio, United States of America.
PLoS One. 2011 Jan 10;6(1):e16183. doi: 10.1371/journal.pone.0016183.
Research on adolescent substance use has consistently identified a strong relationship between adolescent behavior and the behavior of their peers. However, peer effects are difficult to estimate and causal interpretations must be undertaken with caution since individuals in most cases choose with whom to associate. In this paper we seek to empirically quantify the causal role of peer social networks in explaining marijuana usage among adolescents.
Using data from a nationally representative sample of adolescents we utilize a multivariate structural model with school-level fixed effects to account for the problems of contextual effects, correlated effects and peer selections to purge the potential biases from the estimates of peer influence. Our peer group measures are drawn not only from the nomination of close friends (N = 6,377), but also from classmates (N = 19,335). Marijuana usage among the peer groups were constructed using the peers' own report of their marijuana consumption. Controlling for parent level characteristics, and other demographic parameters, we find that a 10% increase in the proportion of close friends and classmates who use marijuana increases the probability that an individual chooses to use marijuana by 5%.
Our findings indicate that peer effects are important determinants of marijuana use even after controlling for potential biases We also found evidence to show that the influence of close friends and the more exogenous classmates are quite similar in magnitude under our preferred specification, supporting theory predicting the importance of peer influence. Effective policy aimed at reducing marijuana usage among adolescents would consider these significant peer effects.
青少年物质使用的研究一直表明,青少年的行为与同伴的行为之间存在很强的关系。然而,同伴效应很难估计,必须谨慎进行因果解释,因为在大多数情况下,个体选择与谁交往。本文旨在通过实证量化同伴社交网络在解释青少年大麻使用方面的因果作用。
我们利用来自全国代表性青少年样本的数据,采用具有学校层面固定效应的多元结构模型,以解决背景效应、相关效应和同伴选择的问题,从而消除同伴影响估计中的潜在偏差。我们的同伴群体衡量不仅来自亲密朋友的提名(N=6377),还来自同班同学(N=19335)。同伴群体中的大麻使用情况是根据同伴自己报告的大麻使用情况构建的。在控制家长层面特征和其他人口统计参数的情况下,我们发现,亲密朋友和同班同学中使用大麻的比例每增加 10%,个体选择使用大麻的概率就会增加 5%。
我们的研究结果表明,即使在控制潜在偏差后,同伴效应也是大麻使用的重要决定因素。我们还发现证据表明,在我们首选的规范下,亲密朋友和更外生的同班同学的影响在数量上相当相似,这支持了预测同伴影响重要性的理论。旨在减少青少年大麻使用的有效政策将考虑到这些显著的同伴效应。