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arXiv 2404.07935econ.GNphysics.soc-phq-fin.EC
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组合增长模型

Compositional Growth Models

José Moran, Massimo Riccaboni

AI总结:

本文综述了用于解释企业规模、GDP等各类数量增长统计特征的组合增长模型,提出可通过统一理论框架,以高斯混合分布解释这类模型的增长率分布。

摘要:

我们综述了组合增长模型,这类模型被提出用于解释从企业规模到GDP等各类数量的增长统计特征。在这些模型中,实体被分解为多个独立增长的单元,因此实体的增长率是各组成单元增长率的加总,各单元权重可能存在异质性。我们梳理了这类模型,并表明可通过一个统一的理论框架理解它们,用高斯混合分布解释其产生的增长率分布。

英文摘要:

We review models of compositional growth, which were introduced to explain the growth statistics of various quantities ranging from firm sizes to GDP. In these models, entities are decomposed into units that grow independently. Thus, the growth rate of the entity is the addition of the growth rates of the composing units, with possibly heterogeneous weights. We review such models and show that they can be understood through a unifying theoretical framework, explaining the resulting growth rate distributions using mixtures of Gaussians.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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