Impulse might be to pay an additional price, thoughtful action in order to more efficiently.
冲动可能会付出额外的代价，深思熟虑后行动，才能事半功倍。
With Vector Error Correction Model, impulse response analysis and variance decomposition, this paper analyzes the finance factors that cause the prompt rise of house price in China.
通过建立向量误差修正模型并借助脉冲响应分析和方差分解，重点对中国近年来住房价格上涨中的金融因素进行分析。
Basing on the var model, we use the impulse response function and variance decomposition method to analyzed the dynamic effect of the change of GDP and income on the housing price.
本文通过建立VAR模型，通过脉冲响应函数与方差分解的方法，研究了GDP与居民可支配收入变化冲击对房地产价格的动态影响。
VAR model impulse response analysis of the process of the two, indicating that the price of land is not affected the real main reason for rising house prices to accelerate.
VAR模型分析了二者脉冲响应过程，表明土地价格不是影响真实房价加速上扬的主要原因。
Furthermore, the impulse test indicates that irrational sentiments and beliefs pose a complex chaotic shock on the price system.
中国证券市场投资者非理性情绪和信念所表现出的复杂和混沌特征也在脉冲响应分析中得到间接的证明。
Usually a high price to pay for the impulse.
冲动通常都要付出代价。
This paper uses cointegation, VEC model and impulse response methods to research the relationship among money supply, price and economic growth.
本文采用协整、向量误差模型以及脉冲响应和方差分解的方法对中国货币供应、物价水平与经济增长的关系进行实证研究。
This paper uses cointegation, VEC model and impulse response methods to research the relationship among money supply, price and economic growth.
本文采用协整、向量误差模型以及脉冲响应和方差分解的方法对中国货币供应、物价水平与经济增长的关系进行实证研究。
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