Inference in structural vector autoregressions when the identifying assumptions are not fully believed: Re-evaluating the role of monetary policy in economic fluctuations

被引:63
作者
Baumeister, Christiane [1 ]
Hamilton, James D. [2 ,3 ]
机构
[1] Univ Notre Dame, Notre Dame, IN 46556 USA
[2] Univ Calif San Diego, La Jolla, CA 92093 USA
[3] Dept Econ 0508, 9500 Gilman Dr, La Jolla, CA 92093 USA
关键词
Structural vector autoregressions; Set identification; Monetary policy; Impulse-response functions; Historical decompositions; Model uncertainty; Informative priors; SIGN RESTRICTIONS; IDENTIFICATION;
D O I
10.1016/j.jmoneco.2018.06.005
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Point estimates and error bands for SVARs that are set identified are only justified if the researcher is persuaded that some parameter values are a priori more plausible than others. When such prior information exists, traditional approaches can be generalized to allow for doubts about the identifying assumptions. We use information about both structural coefficients and impacts of shocks and propose a new asymmetric t-distribution for incorporating information about signs in a nondogmatic way. We apply these methods to a three-variable macroeconomic model and conclude that monetary policy shocks are not the major driver of output, inflation, or interest rates. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:48 / 65
页数:18
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