Economic development and income inequality: Role in country resistance to COVID-19

T. Vasylieva, A. Vysochyna, B. Filep
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引用次数: 1

Abstract

The pandemic of coronavirus disease (COVID-19) significantly slowed economic development and exacerbated income inequality. However, the scale of this destructive influence varies considerably among countries. Thus, the purpose of this study is to identify changes in causality patterns between economic development and income inequality due to COVID-19. To fulfill the task, an Index of Economic Development (IED) is developed using the multivariate analysis tools, Cronbach's alpha and the Fishburn formula. The Gini index was chosen as a core proxy of social inequality. The research covers a sample of 15 European countries. The period of the analysis is 2000-2021. A set of regression equations are constructed to determine the relationship between economic development and income inequality in the studied countries. A dummy variable is integrated into the equation to determine the impact of the coronavirus disease (COVID-19). Modeling is carried out on the panel data. The most acceptable functional form of the regression model is clarified based on the Hausman test. Modeling results make it possible to identify patterns of changes in the impact of income inequality on economic development, and vice versa. The change in their causality due to COVID-19 is substantiated.
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经济发展和收入不平等:在国家抗疫中的作用
冠状病毒病(COVID-19)大流行严重减缓了经济发展,加剧了收入不平等。然而,这种破坏性影响的规模在各国之间差别很大。因此,本研究的目的是确定COVID-19导致的经济发展与收入不平等之间因果关系模式的变化。为了完成这一任务,使用多元分析工具、Cronbach’s alpha和Fishburn公式开发了经济发展指数(IED)。基尼指数被选为社会不平等的核心指标。这项研究涵盖了15个欧洲国家的样本。分析期间为2000-2021年。本文构建了一组回归方程来确定所研究国家的经济发展与收入不平等之间的关系。在方程中加入了一个虚拟变量,以确定冠状病毒病(COVID-19)的影响。对面板数据进行建模。通过Hausman检验,明确了回归模型最可接受的函数形式。建模结果可以确定收入不平等对经济发展影响的变化模式,反之亦然。COVID-19导致的因果关系变化得到证实。
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