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A hybrid time-varying parameter Bayesian VAR analysis of Okun's law in the United States

机译:Okun在美国的杂交时变参数贝叶斯差异分析

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Employing quarterly data on GDP growth and the unemployment rate ranging from 1948Q3 to 2019Q4, we study the stability of Okun's law in the United States. This is done by estimating hybrid timevarying parameter Bayesian VAR models that allow for time-variation in none, one or both of the equations. Model comparison based on marginal likelihoods suggests that the relationship has not been stable. However, the amount of change in the dynamic relationship between the two variables is quantitatively very modest. (C) 2020 The Author(s). Published by Elsevier B.V.
机译:聘请关于GDP增长的季度数据和1948 Q3至2019Q4的失业率,我们研究了Owun法律在美国的稳定性。这是通过估计混合时变量参数贝叶斯贝叶斯VAR模型来完成,该VAR模型允许在无,一个或两个方程中的时间变化。基于边际可能性的模型比较表明,这种关系尚未稳定。但是,两个变量之间的动态关系的变化量非常适度。 (c)2020提交人。由elsevier b.v出版。

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