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引用次数: 0
摘要
本文探讨了代表性代理(RA)模型在何种条件下可以准确地近似于假定有许多相互作用的代理的多代理模型的输出。该研究将广泛使用的凯恩斯交叉图(采用一个代表性代理)与明确考虑多个相互作用的家庭和企业的扩展模型进行了比较。当每种类型都有一个代理人时,扩展模型可还原为原始的 RA 模型。研究结果表明,当出现以下情况时,RA 凯恩斯交叉图模型不能准确地近似于扩展的多代理模型:(1) 经济网络结构不对称(如企业规模不同),或 (2) 代理人的理性太低。此外,当引入资本家来考虑收入不平等问题时,即使代理人是理性的,RA 模型也不再是一个很好的近似模型。不过,重新分配收入的财政政策可以提高 RA 模型预测的准确性。一般来说,提高经济整体理性和降低异质性的特征往往会改善 RA 近似模型的性能。
Rationality, inequality, and the output gap: evidence from a disaggregated Keynesian cross diagram
This paper examines the conditions under which a representative agent (RA) model can accurately approximate the output of a multi-agent model that assumes many interacting agents. The study compares the widely used Keynesian cross diagram, which employs a representative agent, to an extended model that explicitly considers multiple interacting households and firms. The extended model reduces to the original RA model when there is one agent of each type. The findings suggest that the RA Keynesian cross diagram model does not accurately approximate the extended multi-agent model when: (1) the network structure of the economy is asymmetric (e.g., firms have different sizes), or (2) the rationality of agents is too low. Additionally, when income inequality is considered by introducing capitalists, the RA model is no longer a good approximation, even if agents are rational. However, fiscal policies that redistribute income can improve the accuracy of the RA model’s predictions. In general, features that increase the overall rationality of the economy and decrease heterogeneity tend to improve the performance of the RA approximation.
期刊介绍:
Journal of Economic Interaction and Coordination addresses the vibrant and interdisciplinary field of agent-based approaches to economics and social sciences.
It focuses on simulating and synthesizing emergent phenomena and collective behavior in order to understand economic and social systems. Relevant topics include, but are not limited to, the following: markets as complex adaptive systems, multi-agents in economics, artificial markets with heterogeneous agents, financial markets with heterogeneous agents, theory and simulation of agent-based models, adaptive agents with artificial intelligence, interacting particle systems in economics, social and complex networks, econophysics, non-linear economic dynamics, evolutionary games, market mechanisms in distributed computing systems, experimental economics, collective decisions.
Contributions are mostly from economics, physics, computer science and related fields and are typically based on sound theoretical models and supported by experimental validation. Survey papers are also welcome.
Journal of Economic Interaction and Coordination is the official journal of the Association of Economic Science with Heterogeneous Interacting Agents.
Officially cited as: J Econ Interact Coord