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Deriving the size distribution of personal wealth from “the rich get richer, the poor get poorer”

Bibliographic Data

ID10142477
AuthorsJ Angle (0000-0002-6603-3695, Economic Research Service, corresponding author)
Year1993
Volume18
Issue1
Pages27-46
Publication date1993-07-01
Open AccessNo
TypeARTICLE
VenueJournal of Mathematical Sociology (JOURNAL)
Journal identifiersISSN: 0022-250X • E-ISSN: 1545-5874
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/0022250x.1993.9990114
OpenAlexW2094953288
LanguageEN
Citations received4
References cited13

The folk saying, “the rich get richer, the poor get poorer”, implies that wealth flows from poorer to richer hands, a concentrating diffusion. Its academic statement is the Surplus Theory of Social Stratification. Angle (1986) abstracted this theory as an interacting particle system model of wealth distribution, the Inequality Process. In it, random pairs continually compete for each other's wealth. The richer party has a greater chance of winning. The loser gives up a proportion of wealth. Angle (1986) found the equilibrium distribution of the Inequality Process numerically. This paper derives this distribution algebraically, showing that the Inequality Process implies that personal wealth is distributed as a mixture of negative binomial probability functions (NB pf s). The NB pf is closely related to the two parameter gamma probability density function (pdf), what Angle (1986) fitted to the equilibrium distribution of the process. The solution is given in terms of the parameters of the Inequality Process. Making wealth less fugitive by putting it into the form of human capital has the same effect on the shape of the wealth distribution as reducing the advantage of being richer in an encounter

Distribution (mathematics · Econometrics · Economics · Function (biology · Inequality · Mathematical analysis · Mathematical economics · Negative binomial distribution · Personal income · Poisson distribution · Statistics · Complex Systems and Time Series Analysis · Mathematics · Opinion Dynamics and Social Influence · Statistical Distribution Estimation and Applications

  • The Statistical Signature of Pervasive Competition on Wage and Salary Incomes

    J Angle•Journal of Mathematical Sociology•2002

  • The Inequality Process Versus the Saved Wealth Model

    J Angle•Journal of Mathematical Sociology•2012

  • Wealth Inequality in the United States

    L A Keister, Stephanie Moller•Annual Review of Sociology•2000

  • The Puzzle of Lenski's Curve

    Open Access•Daniel H Krymkowski•Rationality and Society•2000

  • Generation And Properties Of Income Distribution Functions

    Camilo Dagum•Income and Wealth Distribution,…•1990

  • Some Generalized Functions for the Size Distribution of Income

    James B McDonald•Modeling Income Distributions and…•2008

  • Some Generalized Functions for the Size Distribution of Income

    James B McDonald•Econometrica•1984

  • Income and Wealth Distribution, Inequality and Poverty

    Open Access•Camilo Dagum, Michele Zenga•Income and Wealth Distribution,…•1990

  • Income distribution in historical perspective

    Open Access•Roderick Floud•Journal of Historical Geography•1992

  • What Do We Really Know about Wages? The Importance of Nonreporting and Census Imputation

    Lee Lillard, Lee A Lillard et al.•Journal of Political Economy•1986

  • Cours d'Economie Politique

    A W Flux, Vilfredo Pareto•The Economic Journal•1897

  • Burial Customs as an Archaeological Source [and Comments]

    V A Alekshin, Brad Bartel et al.•Current Anthropology•1983

  • The social organization at Branč

    Open Access•Susan Shennan•Antiquity•1975

  • The Surplus Theory of Social Stratification and the Size Distribution of Personal Wealth

    J Angle•Social Forces•1986

Citations per year0.15
Citation span2000 - 2012 (13)
Highly citedNo

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