Colloquium: Statistical mechanics of money, wealth, and income

被引:358
作者
Yakovenko, Victor M. [1 ]
Rosser, J. Barkley, Jr. [2 ]
机构
[1] Univ Maryland, Dept Phys, College Pk, MD 20742 USA
[2] James Madison Univ, Dept Econ, Harrisonburg, VA 22807 USA
关键词
econometrics; econophysics; financial management; statistical distributions; statistical mechanics; POWER-LAW TAIL; WORRYING TRENDS; EXPONENTIAL-DISTRIBUTION; INEQUALITY PROCESS; SAVING PROPENSITY; SIZE DISTRIBUTION; UNITED-KINGDOM; KINETIC-MODELS; PARETOS LAW; MARKET;
D O I
10.1103/RevModPhys.81.1703
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
This Colloquium 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.
引用
收藏
页码:1703 / 1725
页数:23
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