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A Statistical Equilibrium Model of Wealth Distribution

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Author Info
Mishael Milakovic

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Abstract

The paper develops a theoretical model of endogenous wealth distribution, showing that a logarithmic mean constraint in the maximum entropy formalism leads to a power law distribution. On the level of economic theory, the model implies two trade-offs: first, the higher the aggregate growth of wealth portfolios and, second, the higher the average turnover activity in individual portfolios, the less equal the distribution of wealth. Empirical estimates of the power law exponent are extracted from Lorenz type data for different countries in different time periods and a numerical example illustrates the model.

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Publisher Info
Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2001 with number 214.

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Date of creation: 01 Apr 2001
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Handle: RePEc:sce:scecf1:214

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Related research
Keywords: Maximum entropy principle; statistical equilibrium; power laws; distribution of wealth;

Find related papers by JEL classification:
C0 - Mathematical and Quantitative Methods - - General
D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
E6 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook

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  1. Sheri M. Markose, 2004. "Computability and Evolutionary Complexity: Markets As Complex Adaptive Systems (CAS)," Economics Discussion Papers 574, University of Essex, Department of Economics. [Downloadable!]
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This page was last updated on 2009-12-9.


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