Money distribution in agent-based models with position-exchange dynamics: the Pareto paradigm revisited

被引：10

作者：

Aydiner, Ekrem ^{[1
]}

Cherstvy, Andrey G. ^{[2
]}

Metzler, Ralf ^{[2
]}

机构：

[1] Istanbul Univ, Dept Phys, TR-34134 Istanbul, Turkey

[2] Univ Potsdam, Inst Phys & Astron, D-14476 Potsdam, Germany

来源：

EUROPEAN PHYSICAL JOURNAL B | 2019年 / 92卷 / 05期

关键词：

Statistical and Nonlinear Physics; STATISTICAL-MECHANICS; WEALTH DISTRIBUTION; SAVING PROPENSITY; ASSET EXCHANGE; INCOME; LAW; ECONOPHYSICS; MARKETS;

D O I：

10.1140/epjb/e2019-90674-0

中图分类号：

O469 [凝聚态物理学];

学科分类号：

070205 ;

摘要：

Wealth and income distributions are known to feature country-specific Pareto exponents for their long power-law tails. To propose a rationale for this, we introduce an agent-based dynamic model and use Monte Carlo simulations to unveil the wealth distributions in closed and open economical systems. The standard money-exchange scenario is supplemented with the position-exchange agent dynamics that vitally affects the Pareto law. Specifically, in closed systems with position-exchange dynamics the power law changes to an exponential shape, while for open systems with traps the Pareto law remains valid.

引用

页数：4