Estimation of spatial autoregressive panel data models with fixed effects

被引:593
作者
Lee, Lung-fei [1 ]
Yu, Jihai [2 ]
机构
[1] Ohio State Univ, Dept Econ, Columbus, OH 43210 USA
[2] Univ Kentucky, Dept Econ, Lexington, KY 40506 USA
关键词
Spatial autoregression; Panel data; Fixed effects; Quasi-maximum likelihood estimation; Conditional likelihood; MAXIMUM LIKELIHOOD ESTIMATORS; REGRESSION-MODELS; DYNAMIC-MODELS;
D O I
10.1016/j.jeconom.2009.08.001
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper establishes asymptotic properties of quasi-maximum likelihood estimators for SAR panel data models with fixed effects and SAR disturbances. A direct approach is to estimate all the parameters including the fixed effects. Because of the incidental parameter problem, some parameter estimators may be inconsistent or their distributions are not properly centered. We propose an alternative estimation method based on transformation which yields consistent estimators with properly centered distributions. For the model with individual effects only, the direct approach does not yield a consistent estimator of the variance parameter unless T is large, but the estimators for other common parameters are the same as those of the transformation approach. We also consider the estimation of the model with both individual and time effects. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:165 / 185
页数:21
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