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Statistical equilibria in economic systems: Socio-combinatorial or individualist-reductionist characterizations?
The European Physical Journal Special Topics ( IF 2.6 ) Pub Date : 2020-07-07 , DOI: 10.1140/epjst/e2020-900157-8
Paulo L. dos Santos

This paper motivates the distinctive analytical usefulness of socio-combinatorial characterizations of statistical equilibria in economic systems. It does so by drawing on Gibbs’ approach to thermodynamic ensembles and on Jaynes’ epistemic characterization of probabilities, entropy, and associated concepts. The resulting approach is contrasted with two classes of individualist-reductionist characterizations of statistical equilibria that are influential among economists and physicists: Micro-econometric cross-sectional and drift-diffusion models. Two illustrative applications contrast the insights each approach offers into the economic and social content of observed statistical equilibria, involving distributions of individual incomes and rates of return for individual enterprises.

中文翻译:

经济系统中的统计均衡:社会组合还是个人还原主义表征?

本文激发了经济系统中统计均衡的社会组合特征的独特分析实用性。它是通过利用Gibbs的热力学合奏方法以及Jaynes的概率,熵和相关概念的认知表征来实现的。所得的方法与在经济学家和物理学家中具有影响力的统计平衡的两类个人主义-还原主义表征形成对比:微观计量经济学的横截面模型和漂移扩散模型。两个说明性的应用程序对比了每种方法对观察到的统计均衡的经济和社会内容的见解,其中涉及个体企业的个人收入分配和回报率。
更新日期:2020-07-07
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