1) Granger Causality Test
格兰杰因果关系检验
1.
Banking System,Stock Market and Fixed Asset Investment——Granger Causality Tests Based on a Three-Factor VAR Model;
银行体系、股票市场与固定资产投资——基于三元向量自回归模型的格兰杰因果关系检验
2.
The paper using data from 1978 to 2005,researches dynamic relativity and causality between urbanization and heavy industry development from positive view,by co-integration analysis and Granger causality test.
文章运用1978—2005年的数据,通过协整分析和格兰杰因果关系检验方法,从实证角度研究了中国城市化进程与重工业发展之间的动态相关性以及因果关系。
3.
The Granger causality test shows that the adjustment of economical structure is the important reason of economic fluctuation,but the economic fluctuation has no obvious effect on the structural change.
通过运用时间序列经济计量技术对中国的产业结构变动和实际经济增长的关系进行实证分析,可发现:格兰杰因果关系检验证实产业结构变动是影响中国实际经济增长的重要原因,而实际经济增长对产业结构变动没有显著的影响。
2) Granger-causality test
格兰杰因果关系检验
1.
Employing Granger-causality test model based on ECM,this paper researches the relationship between U.
运用基于误差修正模型的格兰杰因果关系检验模型,在商品分类层面研究美中贸易逆差与美国对华直接投资的内在联系。
3) granger-causality test
格兰杰因果检验
1.
By employing the co-integration test and the Granger-causality test,the authors make an authentic analysis of the relationship between economic growth and employment of Inner Mongolia,the result of which indicates that there existed a stable co-integration relationship between economic growth and employment of Inner Mongolia during the y.
笔者运用协整分析和格兰杰因果检验对内蒙古经济增长与就业增长的关系进行实证分析,结果表明在1978-2004年前25年期间经济增长与就业增长之间存在稳定的均衡关系,对其进行格兰杰因果检验结果表明就业增长有效地促进经济增长,而不是相反。
2.
The paper uses the Granger-causality test to analyze the two-way causality between logistics development and economic growth in Zhejiang Province,and finds out that they are the cause for each other,namely there are interaction relationship between logistics development and economic growth at the present in Zhejiang Province.
本文从供给推动、需求拉动两个角度分析现代物流发展与经济增长之间的相互关系,并运用了格兰杰因果检验方法,以浙江省为例对现代物流发展与经济增长之间的双向因果关系进行分析,发现现代物流发展与经济增长之间互为因果,即存在互动关系,浙江省现代物流与经济增长呈现出相互促进、共同发展的良好态势。
3.
Based on the collection of the annual housing price in Nanjing and real effective exchange rate(REER) of RMB from 1997 to 2008,this paper establishes the error correction model and carries out the Granger-causality test on the relation between the RMB exchange rate and housing price.
利用1997~2008年人民币实际有效汇率和南京市房地产价格建立了误差修正模型,通过格兰杰因果检验方法对人民币汇率与南京市房价的关系进了实证检验。
4) granger causality test
格兰杰因果检验
1.
Discussion on How to Do Granger Causality Test;
格兰杰因果检验用法探讨
2.
This paper, based on Granger causality test in a vector autoregressive process, empirically analyzed the money supply in China.
在向量自回归模型基础上，通过格兰杰因果检验对我国货币供给的内生性或外生性作了实证检验。
3.
Then Granger Causality Test was made to prove that increase rate of overmuch currency is the cause of CPI and CPI, on the other hand, cannot act as the cause of increase of increase rate of overmuch currency in China, thus indicating that central bank control of the development of economy by adjusting currency supply remains to be of practical significance.
首先借用剑桥方程式建立了通货膨胀及紧缩与货币供应关系的理论模型,然后运用格兰杰因果检验的方法验证了我国超供货币供应是CPI物价指数的原因,而CPI物价指数作为超供货币供应的原因则被拒绝。
5) Granger causality tests
格兰杰因果检验
1.
To this end,some econometric methods such as cointegration,Granger causality tests,IRF and variance decomposition are used to analyze the data from 1978 to 2004.
为探讨我国城市化与经济增长之间的相互作用和相互影响,文章依据1978~2004年的时序数据,利用协整检验、格兰杰因果检验、误差修正模型、脉冲响应及方差分解等方法,对城市化水平与经济增长的关系进行动态计量分析。
6) granger test
格兰杰因果检验
1.
The paper chooses the data of M1, the amount of finished fixed asset investments (FIX), the amount of retail consumables (CONS) and daily Shanghai Composite Indices (SZZZ), and uses the VAR model and methods of variance decomposition and Granger test, to explore the relationship between the changes of macro economic variables in China and the Shanghai Composite Indices.
运用VAR模型,采用方差分解和格兰杰因果检验的方法,选取宏观经济变量中的狭义货币供应量(M1)、固定资产投资完成额(FIX)、社会消费品零售总额(CONS)以及上证综合指数(SZZZ)等分析发现:FIX与CONS对SZZZ的波动有比较显著的影响,而M1对SZZZ的波动影响不明显。
补充资料：格桑多杰
格桑多杰
青海贵德人。中共党员。毕业于北京中央团校。后历任北京中央团校教师，《青海青年报》编辑、记者，班玛县团委书记、生产部副部长、宣传部部长，中共果洛州委宣传部副部长、部长及州委副书记、书记、副州长、州长，中共青海省委宣传部副部长，青海省文联主席、省新闻出版局局长。中共中央委员，青海省人大常委，中国作家协会第四届理事，中国文联第五届委员。60年代开始发表作品。著有诗集《牧笛悠悠》等。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条