Identification and estimation of econometric models with group interactions, contextual factors and fixed effects

被引:201
作者
Lee, Lung-Fei [1 ]
机构
[1] Ohio State Univ, Dept Econ, Columbus, OH 43210 USA
基金
美国国家科学基金会;
关键词
social interactions; group structure; fixed effects; spatial autoregression; conditional maximum likelihood;
D O I
10.1016/j.jeconom.2006.07.001
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper considers identification and estimation of structural interaction effects in a social interaction model. The model allows unobservables in the group structure, which may be correlated with included regressors. We show that both the endogenous and exogenous interaction effects can be identified if there are sufficient variations in group sizes. We consider the estimation of the model by the conditional maximum likelihood and instrumental variables methods. For the case with large group sizes, the possible identification can be weak in the sense that the estimates converge in distribution at low rates. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:333 / 374
页数:42
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