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来源类型Working Paper
规范类型报告
DOI10.3386/w21738
来源IDWorking Paper 21738
Sign Restrictions in Bayesian FaVARs with an Application to Monetary Policy Shocks
Pooyan Amir Ahmadi; Harald Uhlig
发表日期2015-11-23
出版年2015
语种英语
摘要We propose a novel identification strategy of imposing sign restrictions directly on the impulse responses of a large set of variables in a Bayesian factor-augmented vector autoregression. We conceptualize and formalize conditions under which every additional sign restriction imposed can be qualified as either relevant or irrelevant for structural identification up to a limiting case of point identification. Deriving exact conditions we establish that, (i) in a two dimensional factor model only two out of potentially infinite sign restrictions are relevant and (ii) in contrast, in cases of higher dimension every additional sign restriction can be relevant improving structural identification. The latter result can render our approach a blessing in high dimensions. In an empirical application for the US economy we identify monetary policy shocks imposing conventional wisdom and find modest real effects avoiding various unreasonable responses specifically present and pronounced combining standard recursive identification with FAVARs.
主题Econometrics ; Estimation Methods ; Macroeconomics ; Monetary Policy
URLhttps://www.nber.org/papers/w21738
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/579413
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Pooyan Amir Ahmadi,Harald Uhlig. Sign Restrictions in Bayesian FaVARs with an Application to Monetary Policy Shocks. 2015.
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