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Structural vector autoregressions with Markov switching

机译:马尔可夫切换的结构矢量自回归

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摘要

It is argued that in structural vector autoregressive (SVAR) analysis a Markov regime switching (MS) property can be exploited to identify shocks if the reduced form error covariance matrix varies across states. The model setup is formulated and discussed and it is shown how it can be used to test restrictions which are just-identifying in a standard structural vector autoregressive analysis. The approach is illustrated by two SVAR examples which have been reported in the literature and which have features that can be accommodated by the MS structure.
机译:有人认为,在结构矢量自回归(SVAR)分析中,如果减小的形式误差协方差矩阵在各个状态之间变化,则可以利用马尔可夫状态切换(MS)属性来识别冲击。建立并讨论了模型设置,并显示了如何将其用于测试在标准结构矢量自回归分析中刚刚确定的约束。通过文献中已报道的两个SVAR示例说明了该方法,这些示例具有可由MS结构容纳的功能。

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