1) Panel Co-integration Test
面板协整分析
1.
By means of Panel Co-integration Test,this article analyzes the relationship between advertising fee and sales with the sample data from 2002 to 2006.
利用中国2002年到2006年期间的相应的销售额和广告费用的样本数据,运用面板协整分析来研究广告费用对公司销售额的影响。
2) panel cointegration
面板协整
1.
Testing and analysis of the Chinese environmental Kuznets curve-evidence from panel unit root and panel cointegration tests;
基于面板协整的环境库茨涅兹曲线的检验与分析
2.
Reconsideration of Fisher Effect:New International Evidence Coming From Panel Cointegration
对费雪效应的重新考察:来自面板协整的国际新证据
3.
Using panel root test and panel cointegration,this paper examines the impact of regional logistics on economic growth.
基于1978-2006年30个省、直辖市、自治区的面板数据,运用面板单位根和面板协整方法,实证分析表明:区域物流增长与区域经济增长存在面板协整关系,即长期均衡正相关关系;物流基础设施增长和简单的物流数量的增长均不能对经济增长产生较大的影响;我国必须提高物流的服务质量,加快物流的信息化、现代化,繁荣商品市场以扩大潜在的物流需求,以支持经济增长。
3) panel co-integration
面板协整
1.
The paper uses panel co-integration and dynamic OLS to test the relationship between FDI and Fujian s technology innovation.
运用面板协整工具和动态最小二乘法来检验福建省1990~2004年间的外商直接投资的技术溢出效应与技术创新的相关关系。
2.
69; by Hausman Test to the Fixed-Effects Model of panel unit-root test and panel co-integration test to 30 provinces,it\'s found that marginal propensity to consume is 0.
69;基于Hausman检验的固定效应模型的面板单位根和面板协整对我国30个省份分析结果表明边际消费倾向为0。
3.
Use the Gini coefficient to measure the rural-urban income disparity,and divides china into more developed regions and less developed regions,establishes a panel co-integration model,then analyzes the error correction model to study the correlation between income inequality and economic growth,and dynamically adjusted short-term effect.
用基尼系数度量中国城乡收入差距,把中国划分为较发达地区和欠发达地区,分别建立了面板协整模型,并进一步估计和分析了误差校正模型,考察了收入差距与经济增长的长期关系和短期动态调整效应,结论为:较发达地区的收入差距对经济增长具有阻碍作用,而欠发达地区的收入差距对经济增长具有促进作用,欠发达地区收入差距对经济增长的短期影响明显强于较发达地区。
4) co-integration test
协整分析
1.
By applying the analysis of Co-integration test in a substantial research, the paper eliminates the unbalance of time series and reserves the longtime information included in the data.
从凯恩斯的货币需求函数结合目前中国货币需求现状出发,提出了上世纪90年代中期以来中国的货币需求函数,并运用协整分析方法进行实证研究,从而既可以消除时间系列的非平衡性,同时又保留了数据资料所包含的长期信息。
2.
Through three technical methods,Unit Root Test,Co-integration Test and Granger Causality Test,the paper gets some fruitful conclusions: there is one Co-integration among the excess liquidity,excessive currents,stock index and the trade structure,and all the four factors except trade structure can be regarded as the reasons leading to the e.
本文从宏观角度出发,选取银行存贷差等可以反映流动性过剩的指标,以2000年1月~2007年10月的相关数据为基础,采用协整分析、格兰杰因果关系检验等方法得出以下结论:流动性过剩同外汇占款、货币发行量、股票市场以及贸易结构存在协整关系,外汇占款、M2、股价可以视为导致存贷差不断扩大即流动性过剩的原因,但目前贸易结构并不是导致我国流动性过剩的直接原因。
3.
It is provided Johansen co-integration test and vector error correction model in this paper.
运用协整分析方法与误差纠正模型,考察了1991~2005年中国房地产价格与城市化水平之间的关系。
5) cointegration
协整分析
1.
The Cointegration Analysis between Foreign Trade and Economic Growth in Gansu Province;
甘肃对外贸易与经济增长关系的协整分析
2.
In thispaper,With cointegration analysis and Granger causal relation test,the causal relation of coal consumption and GDP of the world main coal consumption countries(China,US,India,Russia,Japan and South Africa) between 1981-2005 has studied in this paper.
本文运用协整分析、格兰杰因果关系,检验对世界主要煤炭消费国家(中国、美国、印度、俄罗斯、日本和南非)1981~2005年的煤炭消费与GDP之间因果关系及其内在规律,进行了分析和研究。
3.
Using methods of ADF Unit root test and cointegration analysis methods of Dynamics Econometrics and data in 1989~2004 of the Capital region,the relationship between technical market development and regional economic growth is analyzed.
采用单位根检验、协整分析以及Granger因果检验法对1989~2004年首都区域技术市场发展与经济增长之间的长期关系进行了动态协整分析。
6) co-integration analysis
协整分析
1.
The co-integration analysis on NSFI input and S&T paper s output;
自然科学基金投入与科技论文产出的协整分析
2.
Change of Urban-rural Income Gap and Economic Growth in Guangxi:Co-integration Analysis and Granger Causality Test
城乡收入差距变化与广西经济增长:协整分析及Granger因果检验
3.
Based on the time series dynamic equilibrium analysis method for co-integration analysis,Granger-causality test,and error correction model analysis of the relationship between R&D expenditure and economic growth in China according to the data of 1978-2005,the dynamic equilibrium relationship between R&D expenditure and economic growth was revealed.
采用时间序列动态均衡关系分析方法,选取中国1978~2005年R&D投入与GDP数据,对中国R&D投入与GDP变量间进行协整分析、因果关系检验和误差修正模型分析。
补充资料:协宁
1.使和合安宁。
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