Uncertainty Matters: Evidence from a High-frequency Identification Strategy

Piergiorgio Alessandri, A. Gazzani, Alejandro Vicondoa
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引用次数: 11

Abstract

Assessing the role of uncertainty shocks as a driver of business cycle fluctuations is challenging because spikes in uncertainty often coincide with news about economic fundamentals. To tackle this problem, we exploit daily data to identify uncertainty shocks that (i) impact the VXO volatility index, and (ii) are statistically independent from level shocks affecting stock prices. We then use the identified series of uncertainty shocks in a monthly VAR to estimate their macroeconomic effects on the US economy. An exogenous increase in uncertainty depresses economic activity and prices, significantly affecting both labor and capital goods markets. Uncertainty shocks account for about 20% of the cyclical fluctuations in employment and industrial production.
不确定性问题:来自高频识别策略的证据
评估不确定性冲击作为商业周期波动驱动因素的作用具有挑战性,因为不确定性的飙升往往与经济基本面的消息同时出现。为了解决这个问题,我们利用日常数据来识别(i)影响VXO波动指数的不确定性冲击,以及(ii)在统计上独立于影响股价的水平冲击。然后,我们在月度VAR中使用确定的一系列不确定性冲击来估计它们对美国经济的宏观经济影响。不确定性的外生增加抑制了经济活动和价格,显著影响劳动力和资本品市场。不确定性冲击约占就业和工业生产周期性波动的20%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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