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
पिछले अध्ययनों में, ईन राइट द्वारा प्रस्तावित एक पूंजीवादी अर्थव्यवस्था के मॉडल के एजेंट-आधारित सिमुलेशन का उपयोग करते हुए, हमने दिखाया कि धन और आय वितरण दोनों में असमानता को एक ही प्रमुख पैरामीटर द्वारा शासित किया जाता है: प्रति व्यक्ति औसत धन और औसत मजदूरी के बीच का अनुपात, $R$ द्वारा दर्शाया गया है। इस पैरामीटर ने वर्ल्ड असमानता डेटाबेस (WID) और अर्थव्यवस्था सहयोग और विकास संगठन (ओईसीडी) से अनुभविक डेटा का उपयोग करके वर्ल्ड असमानता डेटाबेस (World Inequality Database, WID) से प्रतिस्पर्धी महत्व को कैप्चर किया है. मॉडल में, $R$ के बड़े मूल्य प्रणालीगत रूप से उच्च स्तर की असमानता के साथ जुड़े होते हैं,
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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