G2TT
来源类型Discussion paper
规范类型论文
来源IDDP5877
DP5877 Can News About the Future Drive the Business Cycle?
Sérgio Rebelo; Nir Jaimovich
发表日期2006-10-08
出版年2006
语种英语
摘要This paper considers the semiparametric identification of endogenous and exogenous peer effects based on group size variation. We show that Lee (2006)?s linear-in-means model is generically identified, even when all members of the group are not observed. While unnecessary in general, homoskedasticity may be required in special cases to recover all parameters. Extensions to asymmetric responses to peers and binary outcomes are also considered. Once more, most parameters are semiparametrically identified under weak conditions. However, recovering all of them requires more stringent assumptions. Eventually, we bring theoretical evidence that the model is more adapted to small groups.
主题Labour Economics
关键词Linear-in-means model Social interactions Semiparametric identification
URLhttps://cepr.org/publications/dp5877
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/534711
推荐引用方式
GB/T 7714
Sérgio Rebelo,Nir Jaimovich. DP5877 Can News About the Future Drive the Business Cycle?. 2006.
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