Title | ||
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Discrete choice, agent based and system dynamics simulation of health profession career paths. |
Abstract | ||
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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.
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Year | DOI | Venue |
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2014 | 10.5555/2693848.2694063 | WSC '14: Winter Simulation Conference
Savannah
Georgia
December, 2014 |
Keywords | Field | DocType |
economics,health care,multi-agent systems,DCE data,agent based models,agent based simulation,agent preferences,agent preferred choice,consumer theory,discrete choice experiments,health profession career paths,hybrid models,simplistic neoclassical economic models,system dynamics simulation,system dynamics-agent based model | Heteroscedasticity,Agent-based model,Economic model,Predictive power,Agent-based social simulation,Computer science,Simulation,Explanatory power,System dynamics,Discrete choice | Conference |
ISSN | ISBN | Citations |
0891-7736 | 978-1-4673-9741-4 | 0 |
PageRank | References | Authors |
0.34 | 3 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Terry Flynn | 1 | 0 | 0.34 |
Yuan Tian | 2 | 0 | 0.34 |
Keith Masnick | 3 | 0 | 0.34 |
Geoff McDonnell | 4 | 6 | 1.40 |
Elisabeth Huynh | 5 | 0 | 0.34 |
Alex Mair | 6 | 0 | 0.34 |
Nathaniel D. Osgood | 7 | 23 | 9.92 |