中文摘要：

文章将局部空间相关性和时间序列相关性引入面板数据模型分析框架,提出时空相关面板数据模型。在模型估计上,为克服极大似然估计法（ML）在运算上的困难,文章提出采用等权重GMM和最优权重GMM估计方法估计模型误差项方差系数及序列相关系数,并在此基础上,提出采用可行广义最小二乘法（FGLS）估计模型参数,解决了经济计量实证研究中同时存在空间相关性与序列相关性情形下的参数估计。

英文摘要：

Considering local spatial correlation and time series correlation in panel data analysis framework,we propose a series-spatial correlation panel data model.In order to overcome operational difficulties of maximum likelihood estimation method（ML）,we propose equal weight GMM and optimal weight GMM methods to estimate variance coefficients and series correlation coefficient,and on this basis,we propose a feasible generalized least squares estimation（FGLS） method to estimate model coefficients,which solves the parameter estimation problem of econometric empirical study under simultaneous spatial and series correlation.