Computational Economics

, Volume 30, Issue 3, pp 195–226

A Critical Guide to Empirical Validation of Agent-Based Models in Economics: Methodologies, Procedures, and Open Problems

Authors

    • Laboratory of Economics and ManagementSant’Anna School of Advanced Studies
  • Alessio Moneta
    • Evolutionary Economics GroupMax Planck Institute of Economics
  • Paul Windrum
    • Manchester Metropolitan University Business School
Article

DOI: 10.1007/s10614-007-9104-4

Cite this article as:
Fagiolo, G., Moneta, A. & Windrum, P. Comput Econ (2007) 30: 195. doi:10.1007/s10614-007-9104-4
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Abstract

This paper addresses the methodological problems of empirical validation in agent-based (AB) models in economics and how these are currently being tackled. We first identify a set of issues that are common to all modelers engaged in empirical validation. We then propose a novel taxonomy, which captures the relevant dimensions along which AB economics models differ. We argue that these dimensions affect the way in which empirical validation is carried out by AB modelers and we critically discuss the main alternative approaches to empirical validation being developed in AB economics. We conclude by focusing on a set of (as yet) unresolved issues for empirical validation that require future research.

Keywords

MethodologyAgent-based computational economicsSimulation modelsEmpirical validationCalibrationHistory-friendly modeling

Keywords

B41B52C63

Copyright information

© Springer Science+Business Media, LLC 2007