This paper USES Granger causality tests verify above conclusions.
利用格兰杰因果关系检验证实了以上结论。
By using of Granger causality test, we confirm that Granger causes and not the contrary.
通过葛兰杰因果关系检验，确认是的原因，而不是相反。
For multiple stationary time series Granger causality tests and vector autoregressive models are presented.
多平稳时间序列，“格兰其”成员因果律测试和自回归模式给的矢量。
Moreover, Granger causality test results show that RMB's spot and NDF rate are influenced deeply each other.
此外，格兰杰因果检验结果表明，人民币的即期和ndf率的影响，深深对方。
For revealing and exploring climate change and its causes, Granger causality test is introduced in this paper.
为揭示气候变化并探索其可能原因，引入了格兰杰因果检验法。
The Granger causality caused by derivative market to stock market is stronger than causality caused by stock market.
结果还表明权证市场对股票市场的因果关系要强于股票市场对权证市场的因果关系。
The results of Granger Causality Tests and Impulse Response Function in VAR model have proved that conclusion further.
格兰杰因果检验和VAR模型中的脉冲响应函数则进一步印证了上述结论。
Moreover, the model can test if there exists the long-term or short-term Granger causality relation between variables.
该模型还可以进一步检验变量之间的因果关系是长期或短期的因果关系。
The paper makes use of Granger causality test and GARCH model to tests the return spillover and volatility spillover effect.
本文将利用两步法的GARCH模型对股票市场和权证市场的均值溢出和波动溢出进行检验。
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。
Unit-root test, Co integration test and Granger Causality test are applied to analyze factors of construction industrial growth.
在处理数据时，主要运用了计量经济学中单位根检验、格兰杰因果检验和协整检验的方法。
Finally, we use the Granger causality test to analysis the inherent relationship between the institution change and economic growth.
最后，我们利用格兰杰因果检验分析了制度变迁与经济增长之间的内在关系。
The results are: the energy consume flexibility of each industry is dissimilarity, the GDP is Granger causality of the energy consume.
结果表明，三次产业的能源消费弹性不同，GDP是能源消费的格兰杰因果关系。
The result shows that the energy consumption flexibility in each industry is different and GDP is the Granger causality of energy consumption.
结果表明，三次产业的能源消费弹性是不同的，GDP是能源消费的格兰杰因果关系。
Chaper three has tested the qualitative conclusion quantitatively by the Cointegration Theory, Error Correction Model and Granger Causality test.
第三章运用协整理论，误差修正模型及格兰杰因果关系检验对定性分析结论进行了实证定量分析检验。
The team then performed a statistical analysis called a Granger causality analysis to establish whether cause-effect relationships existed between any of them.
然后，章典的研究小组进行了一种被称为格兰杰因果分析的推演，以确定这些变量之间的相互因果关系。
The Granger Causality test shows that on the premise of second-order lag, the energy consumption and carbon emission are the one-way Granger reason of GDP.
格兰杰因果关系检验结论为在二阶滞后期的前提下，能源消费和碳排放量均是GDP的单向格兰杰原因。
It is applies Granger causality tests to test the causes of China technology markets growth according to technology demand pull and technology push theories.
采用格兰杰因果分析法，依据需求拉动和技术推动理论，对中国技术交易规模扩张的原因进行了实证检验。
In the empirical study, the synergistic integration and Granger causality test, and error correction model by textile clothing effect factor of the short term dynamics.
在实证研究中，本文对相关数据进行了协整和格兰杰因果检验，并通过误差修正模型研究了纺织品服装出口影响要素的短期动态关系。
The study also USES cointegration test, Granger causality test as measurement methods. It tries to study new perspective on clear ideas and use scientific research methods.
研究还采用了协整检验和格兰杰因果关系检验等计量方法，力求做到研究视角新颖、研究思路清晰、研究方法科学。
This article establishes the VECM model to analyze the Granger causality among the economic growth, the industrial structure and the employment structure in Shaanxi province.
在经济转型期背景下，通过建立VECM模型来研究陕西经济增长与产业、就业结构之间的关系。
The empirical analysis shows that there is long equilibrium relationship and Granger causality between economic growth and government expenditure, which support for Wagner's law in China.
实证分析表明，中国的经济增长和财政支出存在长期的均衡关系和格兰杰因果关系，瓦格纳法则在中国是成立的。
Based the review of existing theories of money supply, the paper adopts the cointegrate test, Granger causality and impulse response test to analyze the endogenesis of money supply in China.
在回顾已有理论的基础上，本文采用协整、格兰杰因果和脉冲反应分析方法，对我国货币供应量的内生性进行了实证检验。
The paper USES multivariable integration test and Granger causality test based on vector error correction model and analyzes the relationship between Chinas energy consumption and economic growth.
为了探究影响中国能源消费增长的内在规律，文章运用协整分析方法对能源消费与产业结构变化之间的关系进行了定量分析，并建立了向量误差修正模型。
Using regressive model and Granger-Causality model, we investigate the dynamic relationships between macro-economic variables and CCI in China, which was published every month from 1998.
本文应用回归模型和因果引导关系模型检验了我国于1998年开始公布的CCI与宏观经济变量之间的动态影响关系。
Chapter 3: Research on the application of Granger-causality.
第三章：格兰杰因果关系应用研究。
Chapter 3: Research on the application of Granger-causality.
第三章：格兰杰因果关系应用研究。
应用推荐