In this paper, some diagnostic checking tools are proposed for dynamic panel data models.
研究了动态面板数据模型的诊断检验问题。
In order to get better conclusion, we select the panel data models and adopt many ways to estimate the models.
为了使实证分析的效果更好，本文采用了平行数据模型，并采取多种方法对模型进行估计。
This paper proposes a robust method to respectively test for the existence of individual effects and time effects in panel data models.
本文提出了一个稳健的方法分别检验面板数据模型中随机个体效应和随机时间效应的存在性。
This paper proposes a robust method to respectively test for the existence of individual effects and time effects in panel data models.
本文提出了一个稳健的方法分别检验面板数据模型中随机个体效应和随机时间效应的存在性。
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