首页 | 本学科首页   官方微博 | 高级检索  
     检索      

协整向量、调节参数同为非线性的阈值协整检验
引用本文:欧阳志刚.协整向量、调节参数同为非线性的阈值协整检验[J].数量经济技术经济研究,2014(9):138-149.
作者姓名:欧阳志刚
作者单位:中南财经政法大学;华东交通大学
摘    要:针对经济变量的长期均衡和短期调节关系可能同时存在非线性的事实,本文扩展现有阈值协整模型,提出了协整向量、调节参数都为非线性的阈值协整模型,并着重探讨了该模型的检验方法。研究表明,在协整关系的检验中,Wald统计量有较好的有限样本性质。在协整关系的非线性检验中,LMW和LMG统计量的水平扭曲和检验势都较好。在调节参数的非线性检验中,当调节参数具有显著的非线性时,LMH统计量表现出较好的有限样本性质。

关 键 词:非线性  阈值协整  检验方法

Test of Threshold Cointegration Model with Nonlinear Cointegration Vector and Nonlinear Adjustment Parameter
Ouyang Zhigang.Test of Threshold Cointegration Model with Nonlinear Cointegration Vector and Nonlinear Adjustment Parameter[J].The Journal of Quantitative & Technical Economics,2014(9):138-149.
Authors:Ouyang Zhigang
Abstract:Based on the economic practice that the relationships of long-run equilibrium and short-term of economic variables are nonlinear, the paper proposes threshold cointegration model with nonlinear cointegration vector and nonlinear adjustment parameter, and also studies the test methods. This study shows that in the test of cointegration, the Wald statistics has better finite sample properties. Among the nonlinear test of cointegration relationship, LMW and LMG statistics have small distortion size and high power. When test the nonlinear of adjustment parameter, LMH statistics has good finite sample properties while the nonlinear characteristic of adjustment parameter is significant.
Keywords:Nonlinear  Threshold Cointegration  Test Method
点击此处可从《数量经济技术经济研究》浏览原始摘要信息
点击此处可从《数量经济技术经济研究》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号