双因素误差成分的空间面板模型的参数估计
Estimation of Spatial Panel Data Models with Two-Way Error Component
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摘要: 本文构造了比较一般化的双因素误差成分结构的空间面板数据模型, 其中误差成分的设定为个体效应也存在空间相关性. 基于广义矩估计方法, 通过构造最优的工具变量, 寻找合适的矩条件组和权重矩阵, 讨论了模型的参数估计问题, 并证明了估计量的相合性. 通过随机模拟分析估计量的有限样本性质, 结果表明加权矩估计量的渐近效果优于未加权矩估计量, 并且模型参数的可行的广义二阶段最小二乘估计量的估计效果很好.Abstract: In this paper, we construct a generalized spatial panel data model with two-way error components where the spatial correlation also exist in the individual effects. Based on the methods of the generalized moment estimate and the two-step least square estimate, we look for the best instrumental variable, fit generalized moments and the weighted matrix to discuss the estimator of the parameters, and prove the consistent of the estimators. Monte Carlo experiments show that the weighted generalized moment estimators are better than the unweighted generalized moment estimators, and the estimate effect of feasible generalized two stages least squares estimators is good.