基于Granger原因的因果关系检验方法评析

被引:17
作者
王立平
龙志和
机构
[1] 合肥工业大学人文经济学院
[2] 华南理工大学工商管理学院 安徽合肥
[3] 广东广州
关键词
协整关系; 因果关系检验; Granger原因; 检验方法;
D O I
暂无
中图分类号
F224 [经济数学方法];
学科分类号
0701 ; 070104 ;
摘要
基于协整理论的因果关系研究,是现代计量经济学具有划时代意义的发展。文章对几种主要的因果关系检验方法进行了评析,并针对这些检验方法存在的问题作了深入分析。其主要目的是为进行因果关系实证研究,提供理论依据和方法优化选择。
引用
收藏
页码:430 / 434
页数:5
相关论文
共 18 条
[1]  
Improved estimators of Kullback-Leibler information for autoregressive model selection in small samples. Hurvich C M. Biometrika . 1990
[2]  
Public expenditure and national income causality:Further evidence on the role of omitted variable. Syed A. Southern Economic Journal . 1992
[3]  
A nonparametric test for independence of a multivariate time series. Baek B. Statistica Sinica . 1992
[4]  
A classical econometric model of the United States. Sargent R G. Journal of Politics . 1976
[5]  
A new look at the statictical model identification. Akaike H. IEEE Transactions on Automatic Control . 1974
[6]  
Non-causality due to irrelevant lag polynomials. Luintel K B. Applied Economics . 2002
[7]  
Money, income and causality. Sims C A. The American Economist . 1972
[8]  
Macroeconomics and reality. Sims C A. The Econometrics Journal . 1980
[9]  
Investigating causal relationships by econometrics and cross-spectral models. Granger C W J. Econometrica . 1969
[10]  
Some recent developments in a concept of causality. Granger C W J. Journal of Econometrics . 1988