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Generalizing the Inequality Process’ gamma model of particle wealth statistics

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  • John Angle

Abstract

The Inequality Process (IP) has been tested and confirmed against data on incomes that are approximately gamma distributed. The IP’s gamma pdf (probability density function) model expresses statistics of IP particle wealth algebraically in terms of IP parameters for the subset of IP parameters that generate approximately gamma distributions of particle wealth, a serious limitation, one leaving statistics of the many empirical distributions of income and wealth with heavier-than-gamma distribution right tails beyond algebraic expression in terms of IP particle parameters. This paper shows that an IP variance-gamma (VG) pdf model can do for the entire interval on which IP particle parameters are defined, (0,1), what the IP’s gamma pdf model does for only a subset. This paper thus generalizes the IP’s gamma pdf model, and it does so with no loss of parsimony since the IP’s VG pdf model is, like the IP’s gamma pdf model, expressed in terms of IP particle parameters.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:gmasxx:v:47:y:2023:i:3:p:227-243
    DOI: 10.1080/0022250X.2021.2003795
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    1. Fiorani, Filo, 2004. "Option Pricing Under the Variance Gamma Process," MPRA Paper 15395, University Library of Munich, Germany.
    2. Madan, Dilip B & Seneta, Eugene, 1990. "The Variance Gamma (V.G.) Model for Share Market Returns," The Journal of Business, University of Chicago Press, vol. 63(4), pages 511-524, October.
    3. Ribeiro,Marcelo Byrro, 2020. "Income Distribution Dynamics of Economic Systems," Cambridge Books, Cambridge University Press, number 9781107092532.
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    More about this item

    JEL classification:

    • C0 - Mathematical and Quantitative Methods - - General
    • D30 - Microeconomics - - Distribution - - - General

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