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来源类型Working Paper
规范类型报告
DOI10.3386/w29044
来源IDWorking Paper 29044
Instrumental Variable Identification of Dynamic Variance Decompositions
Mikkel Plagborg-Møller; Christian K. Wolf
发表日期2021-07-19
出版年2021
语种英语
摘要Macroeconomists increasingly use external sources of exogenous variation for causal inference. However, unless such external instruments (proxies) capture the underlying shock without measurement error, existing methods are silent on the importance of that shock for macroeconomic fluctuations. We show that, in a general moving average model with external instruments, variance decompositions for the instrumented shock are interval-identified, with informative bounds. Various additional restrictions guarantee point identification of both variance and historical decompositions. Unlike SVAR analysis, our methods do not require invertibility. Applied to U.S. data, they give a tight upper bound on the importance of monetary shocks for inflation dynamics.
主题Econometrics ; Estimation Methods
URLhttps://www.nber.org/papers/w29044
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/586718
推荐引用方式
GB/T 7714
Mikkel Plagborg-Møller,Christian K. Wolf. Instrumental Variable Identification of Dynamic Variance Decompositions. 2021.
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