| 2017/23 | LEM Working Paper Series | ||||||||||||||||
|
Validation of Agent-Based Models in Economics and Finance |
|||||||||||||||||
|
Giorgio Fagiolo, Mattia Guerini, Francesco Lamperti, Alessio Moneta and Andrea Roventini |
|||||||||||||||||
| Keywords | |||||||||||||||||
|
agent based models, validation, calibration, sensitivity analysis, parameter space exploration
|
|||||||||||||||||
| JEL Classifications | |||||||||||||||||
|
C15, C52, C63
|
|||||||||||||||||
| Abstract | |||||||||||||||||
|
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.
|
Downloads
|
|
|
|
| ||||||||||||