Inequality in a model of capitalist economy

IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Physica A: Statistical Mechanics and its Applications Pub Date : 2025-04-15 Epub Date: 2025-02-23 DOI:10.1016/j.physa.2025.130457
Jhordan Silveira Borba , Sebastian Gonçalves , Celia Anteneodo
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Abstract

We analyze inequality aspects of the agent-based model of capitalist economy named Social Architecture of Capitalism that has been introduced by Ian Wright. The model contemplates two main types of agents, workers and capitalists, which can also be unemployed. Starting from a state where all agents are unemployed and possess the same initial wealth, the system, governed by a few simple rules, quickly self-organizes into two classes. After a transient, the model reproduces the statistics of many relevant macroeconomic quantities of real economies worldwide, notably the Boltzmann-Pareto regimes of the distributions of wealth and income. We perform extensive simulations testing the role of the model parameters (number of agents, total wealth, and salary range) on the resulting distribution of wealth and income, the social distribution of agents, and other stylized facts of the dynamics. Our main finding is that, according to the model, in an economy where total wealth is conserved and with a fixed average wage, the increase in wealth per capita comes with more inequality.
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资本主义经济模式中的不平等
我们分析了Ian Wright提出的基于主体的资本主义经济模型——资本主义社会架构的不平等方面。该模型考虑了两种主要类型的代理人,工人和资本家,他们也可能失业。从一个所有代理人都失业并拥有相同初始财富的状态开始,这个系统在一些简单规则的支配下,迅速自我组织成两个阶级。经过一段时间后,该模型再现了全球实体经济中许多相关宏观经济数量的统计数据,特别是财富和收入分配的玻尔兹曼-帕累托制度。我们进行了大量的模拟,测试了模型参数(代理数量、总财富和工资范围)在财富和收入的最终分布、代理的社会分布和其他程式化的动态事实中的作用。我们的主要发现是,根据该模型,在一个总财富守恒且平均工资固定的经济体中,人均财富的增长伴随着更大的不平等。
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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