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Colloquium: Statistical Mechanics of Money, Wealth, and Income Author info | Abstract | Publisher info | Download info | Related research | Statistics Victor M. Yakovenko
J. Barkley Rosser
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The paper reviews statistical models for money, wealth, and income distributions developed in the econophysics literature since the late 1990s. By analogy with the Boltzmann-Gibbs distribution of energy in physics, it is shown that the probability distribution of money is exponential for certain classes of models with interacting economic agents. Alternative scenarios are also reviewed. Data analysis of the empirical distributions of wealth and income reveals a two-class distribution. The majority of the population belongs to the lower class, characterized by the exponential ("thermal") distribution, whereas a small fraction of the population in the upper class is characterized by the power-law ("superthermal") distribution. The lower part is very stable, stationary in time, whereas the upper part is highly dynamical and out of equilibrium.
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Paper provided by arXiv.org in its series Quantitative Finance Papers with number
0905.1518.
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Date of creation: May 2009Date of revision:
Handle: RePEc:arx:papers:0905.1518Contact details of provider: Web page: http://arxiv.org/
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