Since the influential survey by Windrum et al. (2007), research on empirical validation of agent-based models in economics has made substantial advances, thanks to a constant flow of high-quality contributions. This Chapter attempts to take stock of such recent literature to offer an updated critical review of existing validation techniques. We sketch a simple theoretical framework that conceptualizes existing validation approaches, which we discuss along three different dimensions: (i) comparison between artificial and real-world data; (ii) calibration and estimation of model parameters; and (iii) parameter space exploration.
Validation of Agent-Based Models in Economics and Finance
Giorgio Fagiolo
Institute of Economics, Scuola Superiore Sant’Anna
Mattia Guerini
Institute of Economics, Scuola Superiore Sant’Anna and OFCE-Science Po
Francesco Lamperti
Institute of Economics, Scuola Superiore Sant’Anna and FEEM
Alessio Moneta
Institute of Economics, Scuola Superiore Sant’Anna
Andrea Roventini
Institute of Economics, Scuola Superiore Sant’Anna and OFCE-Science Po