Abstract
We propose two novel methods to “bring Agent Based Models (ABMs) to the data”. First, we describe a Bayesian procedure to estimate the numerical values of ABM parameters that takes into account the time structure of simulated and observed time series. Second, we propose a method to forecast aggregate time series using data obtained from the simulation of an ABM. We apply our methodological contributions to a specific medium-scale macro ABM.
Lingua originale | Inglese |
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pagine (da-a) | 875-902 |
Numero di pagine | 28 |
Rivista | Journal of Economic Behavior and Organization |
Volume | 178 |
Numero di pubblicazione | 10 |
DOI | |
Stato di pubblicazione | Pubblicato - 2020 |
All Science Journal Classification (ASJC) codes
- Economia ed Econometria
- Comportamento Organizzativo e Gestione delle Risorse Umane
Keywords
- Agent Based Models
- Estimation
- Forecasting