Estimation of time-varying coefficient dynamic panel data models

被引:1
|
作者
Hayakawa, Kazuhiko [1 ]
Hou, Jie [1 ]
机构
[1] Hiroshima Univ, Dept Econ, 1-2-1 Kagamiyama, Higashihiroshima, Hiroshima 7398525, Japan
关键词
dynamic panel data model; GMM; ML; time-varying parameter;
D O I
10.1080/03610926.2018.1476704
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this paper, we consider dynamic panel data models where the autoregressive parameter changes over time. We propose the GMM and ML estimators for this model. We conduct Monte Carlo simulation to compare the performance of these two estimators. The simulation results show that the ML estimator outperforms the GMM estimator.
引用
收藏
页码:3311 / 3324
页数:14
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