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Kuznets Curve: A Simple Dynamical System-Based Explanation

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Predictive Econometrics and Big Data (TES 2018)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 753))

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Abstract

In the 1950s, a future Nobelist Simon Kuznets discovered the following phenomenon: as a country’s economy improves, inequality first grows but then decreases. In this paper, we provide a simple dynamical system-based explanation for this empirical phenomenon.

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References

  1. Kuznets, S.: Economic growth and income inequality. Am. Econ. Rev. 45, 1–28 (1955)

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Acknowledgments

This work was supported by Chiang Mai University, Thailand. This work was also supported in part by the National Science Foundation grants HRD-0734825 and HRD-1242122 (Cyber-ShARE Center of Excellence) and DUE-0926721, and by an award “UTEP and Prudential Actuarial Science Academy and Pipeline Initiative” from Prudential Foundation.

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Authors and Affiliations

  1. Department of Mathematics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand

    Thongchai Dumrongpokaphan

  2. Department of Computer Science, University of Texas at El Paso, 500 W. University, El Paso, TX, 79968, USA

    Vladik Kreinovich

Authors
  1. Thongchai Dumrongpokaphan
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  2. Vladik Kreinovich
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Correspondence to Vladik Kreinovich .

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Editors and Affiliations

  1. Computer Science Department, University of Texas at El Paso, El Paso, Texas, USA

    Vladik Kreinovich

  2. International College, Chiang Mai University, Chiang Mai, Thailand

    Songsak Sriboonchitta

  3. International College, Chiang Mai University, Chiang Mai, Thailand

    Nopasit Chakpitak

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Dumrongpokaphan, T., Kreinovich, V. (2018). Kuznets Curve: A Simple Dynamical System-Based Explanation. In: Kreinovich, V., Sriboonchitta, S., Chakpitak, N. (eds) Predictive Econometrics and Big Data. TES 2018. Studies in Computational Intelligence, vol 753. Springer, Cham. https://doi.org/10.1007/978-3-319-70942-0_9

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  • DOI: https://doi.org/10.1007/978-3-319-70942-0_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70941-3

  • Online ISBN: 978-3-319-70942-0

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