Project 1: Emerging age structures for ABMs
Applications of agent-based models (ABMs) frequently incorporate the feature that an agent’s age impacts their decision-making (e.g. as regards risk aversion) and outcomes (e.g. susceptibility to disease). Thus, it is important that the ABM also accurately captures the age distribution of the population being modelled. However, it is often difficult to generate realistic age distributions using empirical survival probabilities, due to mis-matches between samples (e.g. in the case where the modelled population is a age-restricted subset of the observed population) or between models. We develop a method for emerging realistic age structures within agent populations for use with ABMs, even in the case where the full life-cycle of the agents is not being modelled. This method can be incorporated into ABMs across a broad range of applications, including economics and epidemiology.
- Fair, K. R., & Guerrero, O. A. (2023). A Method for Emerging Empirical Age Structures in Agent-Based Models with Exogenous Survival Probabilities. arXiv preprint arXiv:2303.17317. Paper
Online repository (forthcoming)