统计研究

• 论文 • 上一篇    

非线性交互效应面板数据模型的估计

叶小青   

  • 出版日期:2014-02-15 发布日期:2014-02-08

Estimator for Nonlinear Panel Data Model with Interactive Fixed Effects

Xiaoqing Ye   

  • Online:2014-02-15 Published:2014-02-08

摘要: 带交互效应的线性面板数据模型广泛应用于宏观、微观、金融等领域,考虑经济变量的动态调整过程在不同经济环境下会发生机制性转换,本文在带交互效应的面板数据模型中引入非线性平滑转换,对静态模型提出了非线性迭代OLS估计量;对动态模型构建了非线性迭代GMM估计量,两类估计量均具有一致性。仿真结果显示估计量的有限样本性质良好。

关键词: 面板数据模型, 交互效应, 非线性转换

Abstract: Linear panel data model with interactive fixed effects is widely applied in macroeconomic、microeconomic and finance etc. Considering the dynamic adjustment of economic variables may be transformed under different economic environment. In this paper, we develop the linear model with nonlinear smooth transition regimes. To the static model, we propose the nonlinear OLS estimators and construct the nonlinear GMM estimators for the dynamic model. The two kinds of estimators have consistency. The simulations show that the finite sample properties outperform well.

Key words: Panel Data Model, Interactive Fixed Effects, Nonlinear Smooth Transition