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Identification of business cycles and the Great Moderation in the post-war U.S. economy

机译:在战后美国经济中的商业周期和巨大温度的识别

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In this paper, a 4-state Markov-switching model based on a Bayesian framework is applied to study the post-war U.S. economy, where the 4 states are designed to represent the expansions and contractions in the non-Great Moderation period and in the Great Moderation period. We propose a simple yet efficient method to deal with the label switching problem in the MCMC simulation. Our model successfully identifies the business cycles and the Great Moderation in the post-war U.S. economy at the same time. Furthermore, our model performs better in the state identification than models based on traditional methods do. (c) 2020 Elsevier B.V. All rights reserved.
机译:本文采用了一项基于贝叶斯框架的4州马尔可夫切换模型,研究了美国战后经济,其中4个州旨在代表非巨大审核期间的扩张和收缩促使期间很好。我们提出了一种简单但有效的方法来处理MCMC仿真中的标签交换问题。我们的模型同时成功地确定了战后美国经济的商业周期和巨大的温度。此外,我们的模型在状态识别方面比基于传统方法的模型更好。 (c)2020 Elsevier B.v.保留所有权利。

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