宏观经济对不确定性冲击的反应:递归排序的危险

L. Kilian, Michael D. Plante, A. W. Richter
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引用次数: 1

摘要

经验宏观经济学的一个常见做法是检验结构向量自回归(VAR)模型中变量的可选递归排序。当隐含的脉冲响应看起来相似时,估计被认为是可信的。如果没有,则使用估计来绑定真实响应,而不直接处理识别挑战。这种做法的一个主要例子是关于不确定性冲击对经济活动影响的文献。通过反例证明,无论数据生成过程是结构VAR模型还是动态随机一般均衡模型,这种做法在一般情况下都是无效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Macroeconomic Response to Uncertainty Shocks: The Perils of Recursive Orderings
A common practice in empirical macroeconomics is to examine alternative recursive orderings of the variables in structural vector autoregressive (VAR) models. When the implied impulse responses look similar, the estimates are considered trustworthy. When they do not, the estimates are used to bound the true response without directly addressing the identification challenge. A leading example of this practice is the literature on the effects of uncertainty shocks on economic activity. We prove by counterexample that this practice is invalid in general, whether the data generating process is a structural VAR model or a dynamic stochastic general equilibrium model.
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