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Classical and modern business cycle measurement: The European case

机译:古典和现代商业周期测量:欧洲案例

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This paper intends to harmonize two different approaches employed in the analysis of business cycles and, in doing so, it retrieves the stylized facts of the business cycle in Europe. We start with the classical approach proposed in Burns and Mitchell (1946) of dating and analyzing the business cycle. The stylized facts retrieved are commented and compared to those obtained by Harding and Pagan (2002) for the U.S.. Two conclusions can be extracted from the results: a) though the turning points obtained for individual countries seem to cluster and would suggest the idea of a common cycle, there are relevant differences in the stylized facts characterizing the business cycle in the individual European economies under analysis; b) moreover, we find relevant differences in the business cycle stylized facts of the European countries and the U.S., mostly in terms of the duration, the amplitude of the cycle and the shape of the recovery. We then adopt the modern alternative: the Markov-switching vector autoregression (MS-VAR). The models regime probabilities provide an optimal statistical inference of the turning point of the European business cycle. For assessing the capacity of the parametric approach to generate the stylized facts of the classical cycle in Europe, the stylized facts of the original data are compared to those of simulated data. Contrary to the results reported by Harding and Pagan (2002) , we show that the MS-VAR model is a good candidate to be used as an statistical instrument to improve the understanding of the business cycle.
机译:本文旨在协调在商业周期分析中采用的两种不同方法,并以此来检索欧洲商业周期的典型事实。我们从Burns and Mitchell(1946)提出的约会和分析商业周期的经典方法开始。对检索到的程式化事实进行评论,并与Harding和Pagan(2002)在美国获得的事实进行比较,可以从结果中得出两个结论:a)尽管各个国家获得的转折点似乎是聚集的,并暗示了在一个共同的周期中,所分析的单个欧洲经济体中表征商业周期的典型事实存在相关差异; b)此外,我们发现欧洲国家和美国在商业周期风格化事实方面存在相关差异,主要是在持续时间,周期幅度和复苏形态方面。然后,我们采用现代的替代方法:马尔可夫切换向量自回归(MS-VAR)。体制概率模型为欧洲经济周期的转折点提供了最佳的统计推断。为了评估在欧洲生成参数化方法的经典周期的风格化事实的能力,将原始数据的风格化事实与模拟数据进行了比较。与Harding和Pagan(2002)报告的结果相反,我们表明MS-VAR模型是一种很好的候选者,可以用作统计工具来增进对商业周期的理解。

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