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Quantile cointegration analysis of the Fisher hypothesis

机译:Fisher假设的分位数协整分析

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This paper intends to provide possible explanations for the empirical failure of the Fisher hypothesis in terms of economic shocks by employing the quantile cointegration methodology recently proposed by Xiao (2009). Our empirical results for six OECDcountries suggest that though the nominal interest rate and inflation move together in the long run, the cointegrating coefficients between the two variables display an asymmetric pattern depending on the sign and size of the shocks, in sharp contrast to the counterparts with the conventional cointegration methods. In details, in the lower quantiles, the nominal rate is low, and would rise less proportionally than the inflation, leading to the so-called Fisher effect puzzle; by contrast, in the upper quantiles where the level of the nominal rate is high, the former would adjust on a one-to-one basis to changes in the latter, and therefore, support the Fisher hypothesis. Asymmetric monetary policies may be responsible for the findings. Finally, a further checking shows that our findings are robust to the changes of econometric modeling and data frequency.
机译:本文旨在通过采用Xiao(2009)最近提出的分位数协整方法,对Fisher假设在经济冲击方面的经验失败提供可能的解释。我们对六个经合组织国家的经验结果表明,尽管长期来看名义利率和通货膨胀会同时发生变化,但两个变量之间的协整系数取决于冲击的迹象和大小而显示出不对称的模式,这与冲击程度相反。传统的协整方法。详细地讲,在较低的分位数中,名义利率较低,与通货膨胀成比例的上升幅度较小,从而导致所谓的费雪效应难题。相反,在名义利率水平较高的较高分位数中,前者会一对一地调整后者的变化,因此支持Fisher假设。不对称的货币政策可能是导致调查结果的原因。最后,进一步的检查表明,我们的发现对计量经济学模型和数据频率的变化具有鲁棒性。

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