25 年的随机资产交换建模

IF 1.6 4区 物理与天体物理 Q3 PHYSICS, CONDENSED MATTER The European Physical Journal B Pub Date : 2024-06-04 DOI:10.1140/epjb/s10051-024-00695-3
Max Greenberg, H. Oliver Gao
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引用次数: 0

摘要

摘要 在过去的 25 年中,经济物理学子领域中出现了大量的文献,这些文献试图将经济不平等作为随机互动代理系统的新兴属性来建模。本文首次全面评述了围绕这一方法研究财富和收入分布的文献,即辛哈(Phys Scr 2003(T106):59, 2003)提出的 "随机资产交换 "文献。详细讨论了 Drăgulescu 和 Yakovenko (Eur Phys J B 17(4):723-729, 2000)、Chakraborti 和 Chakrabarti (Eur Phys J B 17(1):167-170, 2000) 以及 Bouchaud 和 Mézard (Physica A 282(3):536-545, 2000) 的基础论文,并建立了随机资产交换文献中的主要典型模型。本文列举了这些典型模型最常见的变体,并讨论了这些模型的成功之处和局限性。最后,本文认为该文献应朝着更明确地表述经济结构和过程的方向发展,以获得更大的解释力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Twenty-five years of random asset exchange modeling

The last 25 years have seen the development of a significant literature within the subfield of econophysics which attempts to model economic inequality as the emergent property of systems of stochastically interacting agents. In this article, the literature surrounding this approach to the study of wealth and income distributions, henceforth the “random asset exchange” literature following the terminology of Sinha (Phys Scr 2003(T106):59, 2003), is thoroughly reviewed for the first time. The foundational papers of Drăgulescu and Yakovenko (Eur Phys J B 17(4):723–729, 2000), Chakraborti and Chakrabarti (Eur Phys J B 17(1):167–170, 2000), and Bouchaud and Mézard (Physica A 282(3):536–545, 2000) are discussed in detail, and principal canonical models within the random asset exchange literature are established. The most common variations upon these canonical models are enumerated and the successes and limitations of such models are discussed. The paper concludes with an argument that the literature should move in the direction of more explicit representations of economic structure and processes to acquire greater explanatory power.

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来源期刊
The European Physical Journal B
The European Physical Journal B 物理-物理:凝聚态物理
CiteScore
2.80
自引率
6.20%
发文量
184
审稿时长
5.1 months
期刊介绍: Solid State and Materials; Mesoscopic and Nanoscale Systems; Computational Methods; Statistical and Nonlinear Physics
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