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An Econophysical dynamical approach of expenditure and income distribution in the UK

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  • Elvis Oltean
  • Fedor Kusmartsev

Abstract

We extend the exploration regarding dynamical approach of macroeconomic variables by tackling systematically expenditure using Statistical Physics models (for the first time to the best of our knowledge). Also, using polynomial distribution which characterizes the behavior of dynamical systems in certain situations, we extend also our analysis to mean income data from the UK that span for a time interval of 35 years. We find that most of the values for coefficient of determination obtained from fitting the data from consecutive years analysis to be above 80%. We used for our analysis first degree polynomial, but higher degree polynomials and longer time intervals between the years considered can dramatically increase goodness of the fit. As this methodology was applied successfully to income and wealth, we can conclude that macroeconomic systems can be treated similarly to dynamic systems from Physics. Subsequently, the analysis could be extended to other macroeconomic indicators.

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  • Elvis Oltean & Fedor Kusmartsev, 2014. "An Econophysical dynamical approach of expenditure and income distribution in the UK," Papers 1410.3851, arXiv.org, revised Mar 2016.
    • Handle: RePEc:arx:papers:1410.3851
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    References listed on IDEAS

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    1. Adrian Dragulescu & Victor M. Yakovenko, 2000. "Statistical mechanics of money," Papers cond-mat/0001432, arXiv.org, revised Aug 2000.
    2. Clementi, F. & Gallegati, M., 2005. "Power law tails in the Italian personal income distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 350(2), pages 427-438.
    3. Elvis Oltean & Fedor V. Kusmartsev, 2013. "A Polynomial Distribution Applied to Income and Wealth Distribution," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 3(4), pages 1-2, August.
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