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来源类型Working Paper
规范类型报告
DOI10.3386/w26606
来源IDWorking Paper 26606
Drawing Conclusions from Structural Vector Autoregressions Identified on the Basis of Sign Restrictions
Christiane Baumeister; James D. Hamilton
发表日期2020-01-06
出版年2020
语种英语
摘要This paper discusses the problems associated with using information about the signs of certain magnitudes as a basis for drawing structural conclusions in vector autoregressions. We also review available tools to solve these problems. For illustration we use Dahlhaus and Vasishtha's (2019) study of the effects of a U.S. monetary contraction on capital flows to emerging markets. We explain why sign restrictions alone are not enough to allow us to answer the question and suggest alternative approaches that could be used.
主题Econometrics ; Estimation Methods ; Macroeconomics ; Monetary Policy ; International Economics ; International Factor Mobility
URLhttps://www.nber.org/papers/w26606
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/584279
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GB/T 7714
Christiane Baumeister,James D. Hamilton. Drawing Conclusions from Structural Vector Autoregressions Identified on the Basis of Sign Restrictions. 2020.
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