Identifying Aggregate Demand and Supply Shocks Using Sign Restrictions and Higher-Order Moments

G. Bekaert, Eric C. Engstrom, Andrey Ermolov
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引用次数: 3

Abstract

We use information in higher-order moments to identify aggregate supply and aggregate demand shocks for the U.S. economy. Traditional methods based on sign restrictions and/or second-order moments yield only “set” or “interval” identification but higher-order moments are shown to considerably aid identification. Aggregate supply shocks dominated recessions in the 1970s and early 1980s, while aggregate demand shocks dominated most later recessions. The Great Recession of 2008-2009 and the pandemic-induced recession of 2020 exhibited large components due to both negative aggregate demand and negative aggregate supply shocks.
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使用符号限制和高阶矩识别总需求和供给冲击
我们使用高阶矩的信息来识别美国经济的总供给和总需求冲击。基于符号限制和/或二阶矩的传统方法只能产生“集”或“区间”识别,但高阶矩显示出相当有助于识别。总供给冲击主导了20世纪70年代和80年代初的衰退,而总需求冲击主导了后来的大多数衰退。2008-2009年的大衰退和2020年由大流行引发的衰退在很大程度上是由负总需求和负总供给冲击造成的。
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