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MICROECONOMIC ORIGINS OF MACROECONOMIC TAIL RISKS

机译:宏观经济尾部风险的微观经济起源

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摘要

We document that even though the normal distribution is a good approximation to the nature of aggregate fluctuations, it severely underpredicts the frequency of large economic downturns. We then provide a model that can explain these facts simultaneously. Our model show that the propagation of microeconomic shocks through input-output linkages can fundamentally reshape the distribution of aggregate output, increasing the likelihood of large downturns (macroeconomic tail risks) from infinitesimal to substantial. For example, an economy subject to thin-tailed micro shocks but with "unbalanced" input-output linkages (where some sectors or firms play a much more important role than others as inputs suppliers to the rest of the economy) may exhibit deep recessions as frequently as economies that are subject to heavy-tailed shocks. This is despite the fact that a central limit theorem-type result would imply that aggregate output is normally distributed. We characterize what types of input-output linkages and distributions of microeconomic shocks lead to sizable macroeconomic tail risks, and also show how the same economic forces cause the output of many sectors to simultaneously fall by large amounts.
机译:我们证明,即使正态分布与总体波动的性质非常近似,但它严重地低估了经济下滑的频率。然后,我们提供一个可以同时解释这些事实的模型。我们的模型表明,通过投入产出联动产生的微观经济冲击可以从根本上改变总产出的分布,从而将经济下滑(宏观经济尾部风险)从无穷小变为严重的可能性增加。例如,一个经济体遭受了微弱的微观冲击,但具有“不平衡的”投入产出联系(某些部门或企业作为其余经济体的投入提供者,比其他部门或企业起着更为重要的作用)可能会出现严重的衰退。经常作为遭受重尾冲击的经济体。尽管有这样一个事实,即中心极限定理定理类型的结果将暗示总输出呈正态分布。我们描述了哪种类型的投入产出联系和微观经济冲击的分布会导致相当大的宏观经济尾部风险,并且还说明了相同的经济力量如何导致许多部门的产出同时大量下降。

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  • 来源
    《Working Paper Series》 |2015年第20865期|1-29a1-a2|共31页
  • 作者单位

    Department of Economics, E18-269D MIT 77 Massachusetts Avenue Cambridge, MA 02139 and CIFAR and also NBER;

    Dept of Electrical Engineering and Computer Science Massachusetts Institute of Technology 77 Massachusetts Ave, E40-130 Cambridge, MA 02139;

    Columbia Business School 3022 Broadway, 418 Uris Hall New York, NY 10027;

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