金融发展与收入不平等

IF 0.5 Q4 ECONOMICS

Central European Journal of Economic Modelling and Econometrics Pub Date : 2020-01-01 DOI:10.2478/ceej-2020-0006

Ewa Weychert

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引用次数: 20

摘要

摘要本文分析了金融发展对收入不平等的影响。在这项工作中，人们可以找到理论和实证文献的概述，以及使用固定面板数据方法的实证模型。本文试图通过评估金融发展的不同维度对收入不平等程度的影响，理清金融与收入分配关系的对立观点。这项研究的重要附加价值在于使用收入分配的五分位数作为因变量，这可能有助于认识到金融发展对最贫穷和最富有人群的影响。本文的另一个新颖之处在于考虑了金融变量对长期和短期基尼系数的影响。利用2003年至2014年的数据集进行分析的主要结果表明，金融渠道降低了收入不平等。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Financial development and income inequality

Abstract This paper analyses the influence of financial development on income inequality. Throughout this work, one may find the overview of theoretical and empirical literature as well as the empirical model using fixed panel data method. This research paper tries to disentangle the opposing views on the relationship between finance and income distribution, by evaluating the impact of the different dimensions of financial development on the level of income inequality. The important added value of this research is the usage of quintiles of income distribution as a dependent variable that may help to recognise the effect of financial development on the poorest and richest. Another novelty of the paper is the consideration of the effects of financial variables on Gini coefficient in the long and short run. The main results of the analysis using dataset from 2003 to 2014 indicate that financial access decreases income inequality.

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来源期刊

Central European Journal of Economic Modelling and Econometrics ECONOMICS-

CiteScore

0.60

自引率

0.00%

发文量

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.