基于蒙特卡罗模拟的COVID-19大流行衰退影响研究

IF 0.6 4区 经济学 Q4 ECONOMICS Prague Economic Papers Pub Date : 2021-11-25 DOI:10.18267/j.pep.786
Di Shang, Chan Yu, Gang Diao
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引用次数: 0

摘要

我们通过估计经济衰退的幅度、持续时间和影响范围,分析了前所未有的COVID-19大流行造成的经济衰退对经济的影响。我们采用拐点法提取了153个国家自1980年以来的历史衰退特征,并利用这些信息通过蒙特卡罗模拟得到了这些国家在当前大流行引发的衰退期间GDP增长率的分布特征。然后,我们通过调查153个国家历史衰退之间的联合运动关系,对这次大流行引发的衰退的影响范围做出判断。结果表明,这次大流行引起的衰退很可能是一次严重的全球衰退。153个国家的平均模拟三角洲GDP的平均值将在2020年跌至-1.16%的低谷,衰退幅度约为4.50%,并在2023年恢复到危机前的3.29%水平。
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Study on Impacts of COVID-19 Pandemic Recession Based on Monte Carlo Simulation
We analyse the economic impact of the economic recession caused by the unprecedented COVID-19 pandemic by estimating the amplitude, duration and scope of influence of the recession. We employ the turning point method to extract the characteristics of the historical recessions since 1980 in 153 countries and use the information to obtain the distribution characteristics of the GDP growth rate in these countries during the current pandemic-induced recession with Monte Carlo simulation. We then make judgment on the scope of influence of this pandemic-induced recession by investigating the co-movement relationship between the historical recessions in the 153 countries. The results show that this pandemic-induced recession is likely to be a severe global recession. The mean of the average simulated Delta GDP of the 153 countries will plunge into a trough at -1.16% in 2020 with a recession amplitude of approximately 4.50% and recover to the pre-crisis level of 3.29% in 2023.
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1.30
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14.30%
发文量
14
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