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Non‐Linearity and Cross‐Country Dependence of Income Inequality

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  • Leena Kalliovirta
  • Tuomas Malinen

Abstract

We use top income data and the newly developed regime‐switching Gaussian mixture vector autoregressive model to explain the dynamics of income inequality in developed economies within the past 100 years. Our results indicate that the process of income inequality consists of two equilibria identifiable by high inequality and high income fluctuations, and low inequality and low income fluctuations. Our results also imply that income inequality in the United States is the driver of income inequality in other developed economies. High wages and capital gains are found to be the likely channels for the U.S. influence.

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  • Leena Kalliovirta & Tuomas Malinen, 2020. "Non‐Linearity and Cross‐Country Dependence of Income Inequality," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(1), pages 227-249, March.
  • Handle: RePEc:bla:revinw:v:66:y:2020:i:1:p:227-249
    DOI: 10.1111/roiw.12377
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    Cited by:

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    2. Kirschenmann, Karolin & Malinen, Tuomas & Nyberg, Henri, 2016. "The risk of financial crises: Is there a role for income inequality?," Journal of International Money and Finance, Elsevier, vol. 68(C), pages 161-180.

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    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D30 - Microeconomics - - Distribution - - - General

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