@inproceedings{284202ddb14940b2be7f3a46f13505ca,
title = "Discrete choice, agent based and system dynamics simulation of health profession career paths",
abstract = "Modelling real workforce choices accurately via Agent Based Models and System Dynamics requires input data on the actual preferences of individual agents. Often lack of data means that analysts can have an understanding of how agents move through the system, but not why, and when. Hybrid models incorporating discrete choice experiments (DCE) solve this. Unlike simplistic neoclassical economic models, DCEs build on 50 years of well-tested consumer theory that decomposes the utility (benefit) derived from the agent's preferred choice into that associated with its constituent parts, but also allows agents different degrees of certainty in their discrete choices (heteroscedasticity on the latent scale). We use DCE data in populating a System Dynamics/Agent Based Model - one of choices of optometrists and their employers. It shows that low overall predictive power conceals heterogeneity in agents' preferences. Incorporating such preferences in our hybrid approach improves the model's explanatory power and accuracy.",
author = "Terry Flynn and Yuan Tian and Keith Masnick and Geoff McDonnell and Elisabeth Huynh and Alex Mair and Nathaniel Osgood",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 Winter Simulation Conference, WSC 2014 ; Conference date: 07-12-2014 Through 10-12-2014",
year = "2015",
month = jan,
day = "23",
doi = "10.1109/WSC.2014.7020020",
language = "English",
series = "Proceedings - Winter Simulation Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1700--1711",
editor = "Andreas Tolk and Levent Yilmaz and Diallo, {Saikou Y.} and Ryzhov, {Ilya O.}",
booktitle = "Proceedings of the 2014 Winter Simulation Conference, WSC 2014",
address = "United States",
}