Measuring Global Macroeconomic Uncertainty and Cross-Country Uncertainty Spillovers

IF 1.1 Q3 ECONOMICS Econometrics Pub Date : 2022-12-28 DOI:10.3390/econometrics11010002
Graziano Moramarco
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Abstract

We propose an approach for jointly measuring global macroeconomic uncertainty and bilateral spillovers of uncertainty between countries using a global vector autoregressive (GVAR) model. Over the period 2000Q1–2020Q4, our global index is able to summarize a variety of uncertainty measures, such as financial-market volatility, economic-policy uncertainty, survey-forecast-based measures and econometric measures of macroeconomic uncertainty, showing major peaks during both the global financial crisis and the COVID-19 pandemic. Global spillover effects are quantified through a novel GVAR-based decomposition of country-level uncertainty into the contributions from all countries in the global model. We show that this approach produces estimates of uncertainty spillovers which are strongly related to the structure of the global economy.
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衡量全球宏观经济不确定性和跨国不确定性溢出效应
我们提出了一种使用全球向量自回归(GVAR)模型联合测量全球宏观经济不确定性和国家间双边不确定性溢出的方法。在2000年第一季度至2020年第四季度期间,我们的全球指数能够总结各种不确定性指标,如金融市场波动性、经济政策不确定性、基于调查预测的指标和宏观经济不确定性的计量指标,在全球金融危机和2019冠状病毒病大流行期间均显示出主要峰值。全球溢出效应是通过一种新的基于gvar的将国家层面的不确定性分解为全球模型中所有国家的贡献来量化的。我们表明,这种方法产生了与全球经济结构密切相关的不确定性溢出效应的估计。
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来源期刊
Econometrics
Econometrics Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
2.40
自引率
20.00%
发文量
30
审稿时长
11 weeks
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