吕洋, 朱仲义. 带有固定效应的半参数面板数据模型的回归样条估计[J]. 应用概率统计, 2018, 34(1): 84-94. DOI: 10.3969/j.issn.1001-4268.2018.01.007
引用本文: 吕洋, 朱仲义. 带有固定效应的半参数面板数据模型的回归样条估计[J]. 应用概率统计, 2018, 34(1): 84-94. DOI: 10.3969/j.issn.1001-4268.2018.01.007
LYU Yang, ZHU ZhongYi. Regression Splines Estimation for Semiparametric Panel Data Models with Fixed Effects[J]. Chinese Journal of Applied Probability and Statistics, 2018, 34(1): 84-94. DOI: 10.3969/j.issn.1001-4268.2018.01.007
Citation: LYU Yang, ZHU ZhongYi. Regression Splines Estimation for Semiparametric Panel Data Models with Fixed Effects[J]. Chinese Journal of Applied Probability and Statistics, 2018, 34(1): 84-94. DOI: 10.3969/j.issn.1001-4268.2018.01.007

带有固定效应的半参数面板数据模型的回归样条估计

Regression Splines Estimation for Semiparametric Panel Data Models with Fixed Effects

  • 摘要: 本文研究了带有固定效应的半参数面板数据模型的B样条估计.给出了非参数函数m的B样条估计的渐近偏差的表达式. 我们的研究结果表明,B样条估计量的渐近偏差不依赖于工作协方差矩阵. 通过蒙特卡洛模拟,证实了我们的结论.

     

    Abstract: In this paper, we study the asymptotic behavior of the B-spline estimator for semiparametric panel data model with fixed effects.We give explicit expression for the asymptotic bias of B-spline estimator for nonparametric function m. Our study shows that the asymptotic bias of the B-spline estimator does not depend on the working correlation matrix. Simulations are conducted to demonstrate our conclusion.

     

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