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 2017-11, Working papers from University of Connecticut, 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)
New Economics Papers: this item is included in nep-pol
Note: Stephen Miller is the corresponding author
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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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Persistent link: https://EconPapers.repec.org/RePEc:uct:uconnp:2017-11
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