Modern authors have identified a variety of striking economic patterns, most importantly those involving the distribution of incomes and profit rates. In recent times, the econophysics literature has demonstrated that bottom incomes follow an exponential distribution, top incomes follow a Pareto, and profit rates display a tent-shaped distribution. This paper is concerned with the theory underlying various explanations of these phenomena Traditional econophysics relies on energy-conserving “particle collision” models in which simulation is often used to derive a stationary distribution Those in the Jaynesian tradition rely on entropy maximization, subject to certain constraints, to infer the final distribution. This paper argues that economic phenomena should be derived as results of explicit economic processes For instance, the entry and exit process motivated by supply decisions of firms underlies the drift-diffusion form of wage, interest and profit rates arbitrage. These processes give rise to stationary distributions that turn out to be also entropy maximizing. In the arbitrage approach, entropy maximization is a result. In the Jaynesian approach, entropy maximization is the means.

中文翻译：

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经济物理学中的经济

现代作者已经发现了多种惊人的经济模式，最重要的是那些涉及收入分配和利润率的模式。近年来，经济物理学文献表明，最低收入遵循指数分布，最高收入遵循帕累托，利润率呈帐篷形分布。本文关注这些现象的各种解释所依据的理论。传统的经济学物理学依赖于能量守恒的“粒子碰撞”模型，在该模型中，经常使用模拟来得出平稳分布。在杰恩斯主义中，那些模型依赖于熵最大化，但受到某些约束。 ，以推断最终分布。本文认为，经济现象应作为明确的经济过程的结果得出，例如，公司的供应决策所驱动的进入和退出过程是工资，利率和利润率套利的漂移扩散形式的基础。这些过程产生平稳分布，该分布最终也使熵最大化。在套利方法中，结果是熵最大化。在Jaynesian方法中，熵最大化是手段。