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Income Distribution Dynamics of Economic Systems

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  • Ribeiro,Marcelo Byrro

Abstract

Econophysics has been used to study a range of economic and financial systems. This book uses the econophysical perspective to focus on the income distributive dynamics of economic systems. It focuses on the empirical characterization and dynamics of income distribution and its related quantities from the epistemological and practical perspectives of contemporary physics. Several income distribution functions are presented which fit income data and results obtained by statistical physicists on the income distribution problem. The book discusses two separate research traditions: the statistical physics approach, and the approach based on non-linear trade cycle models of macroeconomic dynamics. Several models of distributive dynamics based on the latter approach are presented, connecting the studies by physicists on distributive dynamics with the recent literature by economists on income inequality. As econophysics is such an interdisciplinary field, this book will be of interest to physicists, economists, statisticians and applied mathematicians.

Suggested Citation

  • Ribeiro,Marcelo Byrro, 2020. "Income Distribution Dynamics of Economic Systems," Cambridge Books, Cambridge University Press, number 9781107092532, January.
    • Handle: RePEc:cup:cbooks:9781107092532
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    Cited by:

    1. John Angle, 2023. "Generalizing the Inequality Process’ gamma model of particle wealth statistics," The Journal of Mathematical Sociology, Taylor & Francis Journals, vol. 47(3), pages 227-243, July.
    2. Peng Liu & Yanyan Zheng, 2022. "Precision measurement of the return distribution property of the Chinese stock market index," Papers 2209.08521, arXiv.org, revised Nov 2023.
    3. Danial Ludwig & Victor M. Yakovenko, 2021. "Physics-inspired analysis of the two-class income distribution in the USA in 1983-2018," Papers 2110.03140, arXiv.org, revised Jan 2022.
    4. Jean-Philippe Bouchaud, 2020. "How Much Income Inequality Is Too Much?," Papers 2004.09835, arXiv.org.
    5. Liu, Peng & Zheng, Yanyan, 2022. "Temporal and spatial evolution of the distribution related to the number of COVID-19 pandemic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    6. Takeshi Kato, 2022. "Wealth Redistribution and Mutual Aid: Comparison using Equivalent/Nonequivalent Exchange Models of Econophysics," Papers 2301.00091, arXiv.org.
    7. Joseph, Bijin & Chakrabarti, Bikas K., 2022. "Variation of Gini and Kolkata indices with saving propensity in the Kinetic Exchange model of wealth distribution: An analytical study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 594(C).
    8. Kerim Eser Afc{s}ar & Mehmet Ozyi~git & Yusuf Yuksel & Umit Ak{i}nc{i}, 2021. "Testing the Goodwin Growth Cycles with Econophysics Approach in 2002-2019 Period in Turkey," Papers 2106.02546, arXiv.org.
    9. Florent McIsaac, 2021. "Testing Goodwin with a stochastic differential approach—The United States (1948–2019)," Metroeconomica, Wiley Blackwell, vol. 72(4), pages 696-730, November.

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