Benefit efficient statistical distributions on patient lists
In this paper we consider statistical distributions of different types of patients on the patient lists of doctors. In our framework different types of patients have different preferences regarding their preferred choice of doctor. Assuming that the system is benefit efficient in the sense that distributions with larger total utility have higher probability, we can construct unique probability measures describing the statistical distribution of the different types of patients.
|Date of creation:||27 Apr 2006|
|Date of revision:|
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- Anas, Alex, 1983. "Discrete choice theory, information theory and the multinomial logit and gravity models," Transportation Research Part B: Methodological, Elsevier, vol. 17(1), pages 13-23, February.
- Kurt Jörnsten & Inge Thorsen & Jan Ubøe, 2004. "Replication/prediction problems in the journey to work," Environment and Planning A, Pion Ltd, London, vol. 36(2), pages 347-364, February.
- Jörnsten, Kurt & Ubøe, Jan, 2005. "Efficient Statistical Equilibria in Markets," Discussion Papers 2005/2, Department of Business and Management Science, Norwegian School of Economics.
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