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2882. Competition between hospitals with age-structured patients and negative congestion effects: a differential game approach
Invited abstract in session MD-33: Optimal control in organizations, stream Optimal Control Theory and Applications.
Monday, 14:30-16:00Room: 42 (building: 303A)
Authors (first author is the speaker)
1. | Dominika Machowska
|
Institute of Applied Mathematics and Mechanics, University of Warsaw | |
2. | Michael Kuhn
|
Vienna Institute of Demography | |
3. | Andrzej Nowakowski
|
Mathematics & Computer Sciences, University of Lodz | |
4. | Agnieszka Wiszniewska-Matyszkiel
|
Institute of Applied Mathematics and Mechanics, University of Warsaw | |
5. | Stefan Wrzaczek
|
Economic Frontiers, Institute for Applied Systems Analysis (IIASA) |
Abstract
We explore a noncooperative game framework involving two hospitals, where treatment quality suffers under congestion. Recognizing that healthcare demand is significantly influenced by patient age, we incorporate a continuous age distribution into our model. Each hospital aims to determine the optimal treatment(age-structured) intensity that maximizes its objective: for a public hospital, this involves enhancing the cross life-expectancy as measure for the number and quality of treated patients (public hospital); for a private hospital, the goal is to maximize profits based on public payments for treatment. The resulting problem leads to the introduction of differential games with the closed-loop information structure. The paper formulates conditions for verifying whether a given strategy profile constitutes a Nash equilibrium with the dual closed-loop information structure. The verification theorem is then used to develop a numerical algorithm for determining Nash equilibria in a finite number of steps. The numerical simulations demonstrate how the Nash equilibrium can shift in response to varying socio-economic factors.
Keywords
- Health Care
- Game Theory
Status: accepted
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