Causality between Output and Income Inequality across U.S. States: Evidence from a Heterogeneous Mixed Panel Approach

Shinhye Chang, Hsiao-Ping Chu, Rangan Gupta, S. Miller
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引用次数: 1

Abstract

In this paper, we investigate the causal relationship between output, proxied by personal income, and income inequality in a panel data of 48 states from 1929 to 2012. We employ the causality methodology proposed by Emirmahmutoglu and Kose (2011), as it incorporates possible slope heterogeneity and cross-sectional dependence in a multivariate panel. Evidence of bi-directional causal relationship exists for several inequality measures -- the Atkinson Index, Gini Coefficient, the Relative Mean Deviation, Theil’s entropy Index and Top 10% -- but no evidence of the causal relationship for the Top 1 % measure. Also, this paper finds state-specific causal relationships between personal income and inequality.
美国各州产出和收入不平等之间的因果关系:来自异质混合面板方法的证据
本文利用1929 - 2012年美国48个州的面板数据,研究了以个人收入为代表的产出与收入不平等之间的因果关系。我们采用埃米尔马哈穆托格鲁和科斯(2011)提出的因果关系方法,因为它在多变量面板中包含了可能的斜率异质性和横截面依赖性。双向因果关系的证据存在于几个不平等衡量指标中——阿特金森指数、基尼系数、相对平均偏差、泰尔熵指数和前10%——但没有证据表明前1%衡量指标存在因果关系。此外,本文还发现了个人收入与不平等之间的具体州因果关系。
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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