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Benefit efficient statistical distributions on patient lists

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Author Info

  • Ubøe, Jan

    ()
    (Dept. of Finance and Management Science, Norwegian School of Economics and Business Administration)

  • Lillestøl, Jostein

    ()
    (Dept. of Finance and Management Science, Norwegian School of Economics and Business Administration)

Abstract

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.

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Bibliographic Info

Paper provided by Department of Business and Management Science, Norwegian School of Economics in its series Discussion Papers with number 2006/3.

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Length: 18 pages
Date of creation: 27 Apr 2006
Date of revision:
Handle: RePEc:hhs:nhhfms:2006_003

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Web page: http://www.nhh.no/en/research-faculty/department-of-business-and-management-science.aspx
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Keywords: Patient lists; efficient welfare; statistical distributions;

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  1. 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.
  2. Jörnsten, Kurt & Ubøe, Jan, 2005. "Efficient Statistical Equilibria in Markets," Discussion Papers 2005/2, Department of Business and Management Science, Norwegian School of Economics.
  3. Kurt J�rnsten & Inge Thorsen & Jan Ub�e, 2004. "Replication/prediction problems in the journey to work," Environment and Planning A, Pion Ltd, London, vol. 36(2), pages 347-364, February.
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Cited by:
  1. Lillestøl, Jostein & Ubøe, Jan & Rønsen, Yngve & Hjortdahl, Per, 2007. "Patient allocations according to circumstances and preferences: Modelling based on the Norwegian patient list system," Discussion Papers 2007/2, Department of Business and Management Science, Norwegian School of Economics.

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