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Interactions between eurozone and US booms and busts: A Bayesian panel Markov-switching VAR model

机译:欧元区与美国的繁荣与萧条之间的相互作用:贝叶斯面板马尔科夫转换VaR模型

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摘要

Interactions between eurozone and United States booms and busts and among majoreurozone economies are analyzed by introducing a panel Markov-switching VAR model.The model is well suitable for a multi-country cyclical analysis and accommodateschanges in low and high data frequencies and endogenous time-varying transitionmatrices of the country-specific Markov chains. The transition matrix of each Markovchain depends on its own past history and on the history of other chains, thus allowingfor modelling the interactions between cycles. An endogenous common eurozone cycleis derived by aggregating country-specific cycles. The model is estimated using asimulation based Bayesian approach in which an eficient multi-move algorithm isdefined to draw time-varying Markov-switching chains. Using real and financial dataon industrial production growth and credit spread for all countries, our main empiricalresults are as follows. Recession, slow recovery and expansion are empirically identifiedas three regimes with slow recovery becoming persistent in the eurozone in recent yearsdiffering from the US. US and eurozone cycles are not fully synchronized over the 1991-2013 period, with evidence of more recessions in the eurozone, in particular during the90's. Larger synchronization across regions occurs at beginning of the financial crisisbut recently more heterogeneity takes place.Cluster analysis yields a group of core countries: Germany, France and Netherlands and a group of peripheral countries Spain and Italy. Reinforcement e ects in the recession probabilities and in the probabilities ofexiting recessions occur for both eurozone and US with substantial di erences in phasetransitions within the eurozone. Finally, credit spreads provide accurate predictivecontent for business cycle uctuations. A credit shock results in statistically significantnegative industrial production growth for several months in Germany, Spain and US.Our empirical result may serve as important information for the specification of acoordinated policy between the eurozone and the US and within the eurozone.
机译:通过引入面板马尔可夫切换VAR模型来分析欧元区与美国繁荣与萧条之间以及主要欧元区经济体之间的相互作用,该模型非常适用于多国周期性分析,并适应低和高数据频率的变化以及内生时变特定国家的马尔可夫链的过渡矩阵。每个马尔可夫链的过渡矩阵取决于其自身的过去历史以及其他链的历史,因此可以对循环之间的相互作用进行建模。内生的共同欧元区周期是通过汇总特定国家的周期得出的。使用基于仿真的贝叶斯方法估计模型,其中定义了一种有效的多动算法来绘制时变的马尔可夫切换链。使用有关所有国家工业生产增长和信贷息差的真实和财务数据,我们的主要经验结果如下。根据经验,衰退,缓慢复苏和扩张被确定为三种制度,近年来缓慢复苏在欧元区持续存在,与美国不同。 1991年至2013年期间,美国和欧元区的周期并未完全同步,有迹象表明,欧元区尤其是90年代出现了更多的衰退。在金融危机开始时,各地区之间的同步程度更高,但最近异质性发生了更多。聚类分析产生了一组核心国家:德国,法国和荷兰,以及一些外围国家西班牙和意大利。欧元区和美国的衰退概率和退出衰退的概率都有所增强,欧元区内部的相变存在很大差异。最后,信用息差可为业务周期变化提供准确的预测内容。信贷冲击导致德国,西班牙和美国的工业生产在数月内出现了具有统计意义的负增长。我们的经验结果可能为欧元区与美国之间以及欧元区内部制定协调政策提供重要信息。

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