G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/w29499
来源IDWorking Paper 29499
Skewness and Time-Varying Second Moments in a Nonlinear Production Network: Theory and Evidence
Ian Dew-Becker; Alireza Tahbaz-Salehi; Andrea Vedolin
发表日期2021-11-22
出版年2021
语种英语
摘要This paper studies asymmetry in economic activity over the business cycle. It develops a tractable multisector model of the economy in which complementarity across inputs causes aggregate activity to be left skewed with countercyclical volatility. We then examine implications of the model regarding the time-series skewness of activity at the sector level, cyclicality of dispersion and skewness across sectors, and the conditional covariances of sector growth rates, finding support for each in the data. The empirical skewness of employment growth, industrial production growth, and stock returns increases with the level of aggregation, which is consistent with the model's implication that it is the nonlinearity in the production structure of the economy that generates the skewness. Other prominent models of asymmetry are not able to simultaneously match the range of empirical facts that the production network model can.
主题Macroeconomics ; Macroeconomic Models ; Consumption and Investment ; Business Cycles ; Money and Interest Rates
URLhttps://www.nber.org/papers/w29499
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/587173
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GB/T 7714
Ian Dew-Becker,Alireza Tahbaz-Salehi,Andrea Vedolin. Skewness and Time-Varying Second Moments in a Nonlinear Production Network: Theory and Evidence. 2021.
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