Donadelli Michael, Ferranna Licia, Gufler Ivan, Paradiso Antonio
Department of Economics and Management, University of Brescia, Italy.
Department of Economics, Ca' Foscari University of Venice, Italy.
Struct Chang Econ Dyn. 2021 Jun;57:214-224. doi: 10.1016/j.strueco.2021.03.002. Epub 2021 Mar 20.
This work is intended to show that past epidemic scenarios are not suitable to estimate the macroeconomic impact of the new 2019 coronavirus. Using five centuries of macroeconomic data for England and a unique dataset on epidemics and other significant events (i.e., wars and natural disasters), we show that the macroeconomic effect of epidemics reflects the socio-economic features characterizing different eras. A mapping between past epidemic scenarios and the COVID-19-induced environment can thus lead to misleading outcomes. We believe our evidence to be of general interest and key for policymakers forced to implement rapid and effective policies.
这项研究旨在表明,过去的疫情情景并不适合用来估计新型2019冠状病毒对宏观经济的影响。利用英格兰五个世纪的宏观经济数据以及一个关于疫情和其他重大事件(即战争和自然灾害)的独特数据集,我们表明,疫情的宏观经济影响反映了不同时代的社会经济特征。因此,将过去的疫情情景与新冠疫情引发的环境进行映射可能会导致误导性结果。我们认为我们的证据具有普遍意义,对于被迫实施快速有效政策的政策制定者来说至关重要。