冲击vs响应性:是什么驱动时变离散度?

David Berger, Joseph Vavra
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引用次数: 26

摘要

许多经济变量的分散是逆周期的。是什么推动了这一事实?更大的分散可能是由于冲击的波动性更大,或由于药剂对恒定规模的冲击反应更大。由于没有单独测量外生冲击和内生反应的数据,这些解释之间的理论争论已经出现。在本文中,我们使用开放经济环境提供了新的识别:使用机密的BLS微数据,我们记录了汇率传递与项目级价格变化分散之间的强大正相关关系。我们表明,这种关系在具有时变响应性的模型中自然出现,但与具有波动性冲击的模型不一致。
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Shocks vs. Responsiveness: What Drives Time-Varying Dispersion?
The dispersion of many economic variables is countercyclical. What drives this fact? Greater dispersion could arise from greater volatility of shocks or from agents responding more to shocks of constant size. Without data separately measuring exogenous shocks and endogenous responses, a theoretical debate between these explanations has emerged. In this paper, we provide novel identification using the open-economy environment: using confidential BLS microdata, we document a robust positive relationship between exchange rate pass-through and the dispersion of item-level price changes. We show this relationship arises naturally in models with time-varying responsiveness but is at odds with models featuring volatility shocks.
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