收入分配的均衡与趋同:欧洲28国近期动荡历史的案例(1995-2019)

IF 0.5 Q4 ECONOMICS
Yanling Guo, Friedrich L. Sell
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引用次数: 1

摘要

作者构建了一个个人收入分配的政治经济均衡框架。一开始,他们建立了一个以地位理论为基础的理论模型。有了这个概念,人们可以解释社会中某种或最优程度的不平等,并定义不平等可以收敛到的稳定状态。通过计算集体决策过程的总基尼系数,允许因冲击而偏离稳定状态。在与集体决策过程相适应的速度下,回归均衡是可行的。然后,作者对28个欧洲国家在2009/2010年大衰退和2010/2015年欧元危机(1995-2019)之前、期间和之后的个人收入分配进行了实证分析。不出所料,他们在数据中发现了不平等收敛。然而,趋同的速度对所有国家来说都不一样。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Equilibrium and Convergence in Income Distribution: The Case of 28 European Countries in the Recent, Turbulent Past (1995–2019)
Abstract The authors developed a political economy equilibrium framework for personal income distribution. In the beginning, they set up a theoretical model which was rooted in status theory. With this concept, one may explain a certain or optimal degree of inequality in society and define a steady state to which inequality can converge. By taking the aggregated Gini coefficient due to a collective decision process, deviations from the steady state due to shocks are allowed. A return to equilibrium is feasible with speed which is compatible with the collective decisionmaking process. The authors then conducted an empirical analysis of personal income distribution in 28 European nations for the period before, during and after the great recession of 2009/2010 and the Euro crisis of 2010/2015 (1995–2019). Not surprisingly, they found inequality convergence in the data. However, the speed of convergence is not the same for all countries.
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
9
期刊介绍: The Central European Journal of Economic Modelling and Econometrics (CEJEME) is a quarterly international journal. It aims to publish articles focusing on mathematical or statistical models in economic sciences. Papers covering the application of existing econometric techniques to a wide variety of problems in economics, in particular in macroeconomics and finance are welcome. Advanced empirical studies devoted to modelling and forecasting of Central and Eastern European economies are of particular interest. Any rigorous methods of statistical inference can be used and articles representing Bayesian econometrics are decidedly within the range of the Journal''s interests.
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