A Critical Guide to Empirical Validation of Agent-Based Models in Economics: Methodologies,Procedures, and Open Problems |
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Authors: | Giorgio Fagiolo Alessio Moneta Paul Windrum |
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Affiliation: | (1) Laboratory of Economics and Management, Sant’Anna School of Advanced Studies, Piazza Martiri della Libertà 33, Pisa, 56127, Italy;(2) Evolutionary Economics Group, Max Planck Institute of Economics, Jena, Germany;(3) Manchester Metropolitan University Business School, Manchester, UK |
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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.
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Keywords: | Methodology Agent-based computational economics Simulation models Empirical validation Calibration History-friendly modeling |
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