Agent-Based Modeling in Economics and Finance: Past, Present, and Future

Robert L. Axtell and J. Doyne Farmer

Journal of Economic Literature, 2025, vol. 63, issue 1, 197-287

Abstract: Agent-based modeling (ABM) is a novel computational methodology for representing the behavior of individuals in order to study social phenomena. Its use is rapidly growing in many fields. We review ABM in economics and finance and highlight how it can be used to relax conventional assumptions in standard economic models. ABM has enriched our understanding of markets, industrial organization, labor, macro, development, public policy, and environmental economics. In financial markets, substantial accomplishments include understanding clustered volatility, market impact, systemic risk, and housing markets. We present a vision for how ABMs might be used in the future to build more realistic models of the economy and review some of the hurdles that must be overcome to achieve this.

JEL-codes: C63 D00 E00 G00 (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1257/jel.20221319

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