← Search

Journal of Economic Literature Vol. 63 No. 1 2025

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

Robert L. Axtell1; J. Doyne Farmer2

1 George Mason University and Santa Fe Institute. · 2 Smith School School of Enterprise and the Environment and the Institute for New Economic Thinking (INET), University of Oxford, and Santa Fe Institute.

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 hurdles that must be overcome to achieve this.

DOI
10.1257/jel.20221319
Volume
63
Issue
1
Pages
197-287
Language
en
Sources
bibtex:phds-export.bib openalex crossref

Cite