Panel data models with cross-sectional dependence: a selective review

被引：0
|
作者：
Qiu-Hua Xu
Zong-Wu Cai
Ying Fang
机构：
[1] Xiamen University,The Wang Yanan Institute for Studies in Economics, MOE Key Laboratory of Econometrics (Xiamen University), Fujian Provincial Key Laboratory of Statistical Science
[2] University of Kansas,Department of Economics
来源：
Applied Mathematics-A Journal of Chinese Universities | 2016年 / 31卷
关键词：
Panel data models; Cross-sectional dependence; Spatial dependence; Interactive fixed effects; Common factors;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this review, we highlight some recent methodological and theoretical developments in estimation and testing of large panel data models with cross-sectional dependence. The paper begins with a discussion of issues of cross-sectional dependence, and introduces the concepts of weak and strong cross-sectional dependence. Then, the main attention is primarily paid to spatial and factor approaches for modeling cross-sectional dependence for both linear and nonlinear (nonparametric and semiparametric) panel data models. Finally, we conclude with some speculations on future research directions.
引用
收藏
页码：127 / 147
页数：20
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