文章摘要
金春雨,兰中停.时变秩和时变系数VECM模型与“费雪效应”机制检验[J].数量经济技术经济研究,2017,(6):87-103
时变秩和时变系数VECM模型与“费雪效应”机制检验
Empirical Test of the Fisher Effect in China: Based on Time Varying Rank and Time Varying Coefficient VECM Model
  
DOI:
中文关键词: 费雪效应  VECM  时变协整秩  奇异值分解  马尔科夫区制转换
英文关键词: Fisher Effect  VECM  Time Varying Co-integration Rank  Singular Value Decomposition  Markov-switching
基金项目:本文获得吉林省科技发展计划软科学研究项目(20130420035FG)、吉林大学哲学社会科学重大课题培育项目(2015ZDPY09)的资助。
作者单位
金春雨 吉林大学数量经济研究中心吉林大学商学院 
兰中停 吉林大学数量经济研究中心 
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中文摘要:
      研究目标:检验我国经济是否存在“费雪效应”。研究方法:将马尔科夫区制转换结构应用于对协整秩的建模,同时考虑协整参数的时变,构建时变秩和时变系数VECM模型,使用贝叶斯框架估计模型参数。研究发现:1992年1月~2016年3月间我国名义利率与通货膨胀率之间存在时变系数VECM模型与I(1)数据时变系数VAR模型两种区制的转换,我国名义利率和通货膨胀率之间主要表现为时变协整关系。估计的归一化协整向量表明,整个样本期间我国存在“费雪效应”占优;经济“新常态”时期,不存在“费雪效应”处于主导地位;2015年7月以来我国存在时变弱的“费雪效应”。研究创新:将马尔科夫区制转换结构应用于对协整秩的建模,构建时变秩和时变系数VECM模型。研究价值:有助于重新认识“费雪效应之谜”。
英文摘要:
      Research Objectives:This paper tests Fisher Effect in China. Research Methods: The Markov regime switch structure is applied to modeling of co-integration rank, and the time variation of co-integration parameter is considered. The time varying rank and time varying parameter VECM model is established, and the parameters of the model are estimated by using the Bayesian method. Research Findings: By using the data about nominal interest and inflation from 1992 to 2016,the results show that there is a transition between the nominal interest rate and the inflation rate in the time varying parameter VECM model and the first order single integer I (1)data time varying parameter VAR model. During the whole sample period, the two elements of stochastic processes, which are composed of nominal interest rate and inflation rate, are mainly time varying co-integrated. Estimated normalized co-integration vector shows that existing Fisher Effect is dominant in China during the entire sample period.In economic new normal period, non-existent Fisher Effect is in a dominant position. There exists weak Fisher Effect in China since July 2015.Research Innovations: The Markov regime switch structure is applied to modeling of co-integration rank, and the time varying rank and time varying parameter VECM model is established. Research Value: The conclusion helps to re-understand Fisher Puzzle.
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