G2TT
来源类型Discussion paper
规范类型论文
来源IDDP9159
DP9159 Multivariate Choice and Identification of Social Interactions
Yves Zenou; Ethan Cohen-Cole; Xiaodong Liu
发表日期2012-09-30
出版年2012
语种英语
摘要In this paper, we investigate the impact of peers on own outcomes where all agents embedded in a network choose more than one activity. We develop a simple network model that illustrates these issues. We differentiate between the ?seemingly unrelated? simultaneous equations model where people are influenced only by others within the same activity, the ?triangular? simultaneous equations model, where there is some asymmetry in the peers? cross effects, and the ?square? simultaneous equations model, where all possible cross-choice effects are taken into account. We develop the conditions under which each model is identified, showing that the general ?square? simultaneous equations model with both simultaneity effect and cross-choice peer effect cannot be identified without any exclusion restrictions. We then study the impact of peer effects on education and screen activities and show that the estimated within- and cross-choice peer effects both have non-trivial impacts on adolescent behavior. We find, in particular, that, keeping peers? grades and screen activities fixed, watching more TV could be beneficial to a student?s grade.
主题Labour Economics
关键词Identification Peer effects Social Networks
URLhttps://cepr.org/publications/dp9159
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/537994
推荐引用方式
GB/T 7714
Yves Zenou,Ethan Cohen-Cole,Xiaodong Liu. DP9159 Multivariate Choice and Identification of Social Interactions. 2012.
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