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Partisan Conflict and Income Inequality in the United States: A Nonparametric Causality-in-Quantiles Approach

Author

Listed:
  • Mehmet Balcilar

    (Eastern Mediterranean University
    Montpellier Business School
    University of Pretoria)

  • Seyi Saint Akadiri

    (Eastern Mediterranean University)

  • Rangan Gupta

    (University of Pretoria)

  • Stephen M. Miller

    (University of Nevada, Las Vegas)

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.

Suggested Citation

  • Mehmet Balcilar & Seyi Saint Akadiri & Rangan Gupta & Stephen M. Miller, 2019. "Partisan Conflict and Income Inequality in the United States: A Nonparametric Causality-in-Quantiles Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(1), pages 65-82, February.
    • Handle: RePEc:spr:soinre:v:142:y:2019:i:1:d:10.1007_s11205-018-1906-3
    DOI: 10.1007/s11205-018-1906-3
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    References listed on IDEAS

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    Cited by:

    1. Seyi Saint Akadiri & Ada Chigozie Akadiri, 2018. "Growth and Inequality in Africa: Reconsideration," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 4(3), pages 76-86, September.
    2. Shinhye Chang & Matthew W. Clance & Giray Gozgor & Rangan Gupta, 2019. "A Reconsideration of Kuznets Curve across Countries: Evidence from the Co-summability Approach," Working Papers 201970, University of Pretoria, Department of Economics.
    3. Christian Pierdzioch & Rangan Gupta & Hossein Hassani & Emmanuel Silva, 2018. "Forecasting Changes of Economic Inequality: A Boosting Approach," Working Papers 201868, University of Pretoria, Department of Economics.
    4. Qin, Meng & Su, Chi-Wei & Tao, Ran & Umar, Muhammad, 2020. "Is factionalism a push for gold price?," Resources Policy, Elsevier, vol. 67(C).
    5. Rufei Zhang & Haizhen Zhang & Qingzhu Fan & Wang Gao & Xue Luo & Shixiong Yang, 2022. "Partisan Conflict, National Security Policy Uncertainty and Tourism," Sustainability, MDPI, vol. 14(17), pages 1-22, August.

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    More about this item

    Keywords

    Partisan conflict; Income inequality; Quantile causality;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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