不确定性和商业周期不对称性

Yu-Fan Huang, Sui Luo, Hung-Jen Wang
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引用次数: 0

摘要

我们研究了宏观经济不确定性与美国经济商业周期不对称性之间的联系。为此,我们提出了一个不可观察的成分模型,其中冲击是不对称分布的,不对称程度随宏观经济的不确定性而变化。提出了一种高效的贝叶斯MCMC算法。实证结果表明,美国经济周期的不对称性与宏观经济的不确定性密切相关。具体而言,宏观经济的高度不确定性往往与对周期性成分的重大负面冲击有关。在高不确定性时期,产出增长的概率密度向左倾斜,增长脆弱性增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Uncertainty and Business Cycle Asymmetry
We investigate the link between macroeconomic uncertainty and business cycle asymmetry of the U.S. economy. To this end, we propose an unobserved component model in which the shocks are asymmetrically distributed, and the degree of asymmetry varies with macroeconomic uncertainty. An efficient Bayesian MCMC algorithm is developed. Empirical results suggest that asymmetry in the U.S. business cycles is closely associated with macroeconomic uncertainty. Specifically, high macroeconomic uncertainty tends to be associated with large and negative shocks to the cyclical components. During times of high uncertainty, the probability density of output growth skews to the left, and growth vulnerability increases.
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