Jhordan Silveira de Borba, Sebastián Gonçalves, Celia Anteneodo · 2026 · arXiv (Cornell University)
DOI: 10.48550/arxiv.2610.24192 · cited by 0 works (OpenAlex) · open-access PDF
在之前的研究中,使用Ian Wright提出的资本主义经济模型的代理数据模拟,我们表明,财富和收入分配中的不平等在很大程度上是由一个关键参数所支配的:人均平均财富和平均工资之间的比例,以R$表示。该参数捕捉了积累资产与劳动收入相比的相对重要性。在该模型中,较大的R$值系统地与更高的不平等水平有关,以吉尼系数来衡量。在目前的工作中,我们研究了这种关系是否在现实世界经济中也被观察到。使用世界不平等数据库(WID)和经济合作与发展组织(OECD)的经验数据,我们构建了 $R$的经验估计,并将其与国家的财富和积极的不平等指标进行比较。我们发现
Machine translation (Meta M2M100); the English original follows.
In previous studies, using agent-based simulations of a model of a capitalist economy proposed by Ian Wright, we showed that inequality in both wealth and income distributions is largely governed by a single key parameter: the ratio between average wealth per capita and the mean salary, denoted by $R$. This parameter captures the relative importance of accumulated assets compared with labor income. In the model, larger values of $R$ are systematically associated with higher levels of inequality, as measured by the Gini coefficient. In the present work, we investigate whether this relationship is also observed in real-world economies. Using empirical data from the World Inequality Database (WID) and the Organization for Economic Co-operation and Development (OECD), we construct empirical estimates of $R$ and compare them with standard measures of income and wealth inequality. We find a positive relation between $R$ and inequality across several empirical settings, with the strongest relationships observed for mature and advanced economies. These results provide empirical support for the role of the wealth-to-salary ratio as a simple macroscopic indicator associated with economic inequality, while also highlighting the limitations imposed by differences in data definitions and measurement across countries and periods.
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Topics: Inequality, Econometrics, Gini coefficient, Economics, Economic inequality, Income inequality metrics
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