Melbourne Institute of Applied Economic and Social Research, University of Melbourne, Vic 3010, Melbourne, Australia.
Soc Sci Med. 2011 Oct;73(8):1186-93. doi: 10.1016/j.socscimed.2011.08.006. Epub 2011 Aug 26.
Although it is widely believed that one of the key factors influencing whether an adolescent smokes or not is the smoking behaviour of his or her peers, empirical evidence on the magnitude of such peer effects, and even on their existence, is mixed. This existing evidence comes from a range of studies using a variety of country-specific data sources and a variety of identification strategies. This paper exploits a rich source of individual level, school-based, survey data on adolescent substance use across countries--the 2007 European Schools Survey Project on Alcohol and Other Drugs--to provide estimates of peer effects between classmates in adolescent smoking for 75,000 individuals across 26 European countries, using the same methods in each case. The results suggest statistically significant peer effects in almost all cases. These peer effects estimates are large: on average across countries, the probability that a 'typical' adolescent smokes increases by between .31 and .38 percentage points for a one percentage point increase in the proportion of classmates that smoke. Further, estimated peer effects in adolescent smoking are stronger intra-gender than inter-gender. They also vary across countries: in Belgium, for example, a one percentage point increase in reference group smoking is associated with a .16 to .27 percentage point increase in own smoking probability; in The Netherlands the corresponding increase is between .42 and .59 percentage points.
虽然人们普遍认为,影响青少年是否吸烟的一个关键因素是其同伴的吸烟行为,但关于这种同伴效应的大小,甚至关于其是否存在的实证证据都是混杂的。这些现有证据来自一系列使用各种特定于国家的数据源和各种识别策略的研究。本文利用了一项关于青少年在各国使用物质的个人层面、基于学校的调查数据的丰富来源——2007 年欧洲学校关于酒精和其他毒品的调查项目——来提供 26 个欧洲国家 75000 名个体的青少年吸烟同伴之间的同伴效应估计值,在每种情况下都使用相同的方法。结果表明,在几乎所有情况下都存在具有统计学意义的同伴效应。这些同伴效应估计值很大:在平均水平上,在一个国家内,对于一个典型的青少年来说,如果同班级吸烟的比例增加一个百分点,那么他吸烟的概率就会增加.31 到.38 个百分点。此外,青少年吸烟的同伴效应在同性别内比跨性别内更强。它们还因国家而异:例如,在比利时,参考组吸烟增加一个百分点,与自身吸烟概率增加.16 到.27 个百分点相关;在荷兰,相应的增加在.42 到.59 个百分点之间。