节点文献
非参数固定效应Panel Data模型的统计推断
Statistical Inference on Nonparametric Fixed-Effects Panel Data Models
【摘要】 本文主要讨论了非参数固定效应Panel data模型的估计与检验问题,首先我们利用Profile最小二乘方法得到了固定效应与非参数部分的估计;接着基于比较原假设与备择假设下模型拟合的残差平方和的思想针对固定效应的检验问题构造了检验统计量,并给出了计算检验p-值的F分布逼近法。
【Abstract】 This paper is concerned with the estimation and testing of a nonparametric fixed-effects panel data model.We first construct estimators of the fixed effects and nonparametric function by profile least-squares approach.Then we propose a test statistic which is based on comparing the residual sum of squares under null and alternative hypothesis in the problem of testing fixed effects.For computational consideration in practice,a method to approximate the p-value is derived by employing the F distribution approximation.
【关键词】 部分线性模型;
非参数回归;
panel data;
profile最小二乘估计;
【Key words】 nonparametric regression; panel data models; partially linear model; profile least-squares estimation;
【Key words】 nonparametric regression; panel data models; partially linear model; profile least-squares estimation;
【基金】 国家社会科学基金项目(07CTJ003)的阶段性成果;全国统计科学研究计划项目(2006B24);教育部人文社会科学重点研究基地重大项目(05JJD910001);中国人民大学应用统计科学研究中心资助
- 【文献出处】 数理统计与管理 ,Application of Statistics and Management , 编辑部邮箱 ,2009年04期
- 【分类号】O212.1
- 【被引频次】7
- 【下载频次】522