Partisan Conflict and Income Distribution in the United States: A Nonparametric Causality-in-Quantiles Approach
Mehmet Balcilar (),
Seyi Akadiri (),
Rangan Gupta () and
Stephen Miller ()
No 201741, Working Papers from University of Pretoria, Department of Economics
This study examines the predictive power of a partisan conflict index on income inequality. Our study adds to the existing literature by using the newly introduced nonparametric causality-in-quantile testing approach to examine how political polarization in the Unites States affects several measures of income inequality and distribution overtime. The study uses annual time-series data from 1917-2013. We find evidence of a causal relationship running from partisan conflict to income inequality, except at the upper end of the quantiles. The study suggests that a reduction in partisan conflict will lead to a more equal income distribution.
Keywords: Partisan Conflict; Income Distribution; Quantile Causality (search for similar items in EconPapers)
JEL-codes: C22 O15 (search for similar items in EconPapers)
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Working Paper: Partisan Conflict and Income Distribution in the United States: A Nonparametric Causality-in-Quantiles Approach (2017)
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