Document Type
Article
Publication Date
4-30-2018
Publication Title
Social Indicators Research
Volume
142
Issue
1
First page number:
65
Last page number:
82
Abstract
This paper examines the predictive power of a partisan conflict on income inequality. Our study contributes to the existing literature by using the newly introduced nonparametric causality-in-quantile testing approach to examine how political polarization in the United States affects several measures of income inequality and distribution overtime. The study uses annual time-series data between the periods 1917–2013. We find evidence in support of a dynamic causal relationship between partisan conflict and income inequality, except at the upper end of the quantiles. Our empirical findings suggest that a reduction in partisan conflict will lead to a reduction in our measures of income inequality, but this requires that inequality is not exceptionally high.
Keywords
Partisan conflict; Income inequality; Quantile causality
Disciplines
Income Distribution
File Format
File Size
1500 KB
Language
English
Repository Citation
Balcilar, M.,
Akadiri, S. S.,
Gupta, R.,
Miller, S. M.
(2018).
Partisan Conflict and Income Inequality in the United States: A Nonparametric Causality-in-Quantiles Approach.
Social Indicators Research, 142(1),
65-82.
http://dx.doi.org/10.1007/s11205-018-1906-3