Benefit efficient statistical distributions on patient lists
AbstractIn 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 InfoPaper provided by Department of Business and Management Science, Norwegian School of Economics in its series Discussion Papers with number 2006/3.
Length: 18 pages
Date of creation: 27 Apr 2006
Date of revision:
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Postal: NHH, Department of Business and Management Science, Helleveien 30, N-5045 Bergen, Norway
Phone: +47 55 95 92 93
Fax: +47 55 95 96 50
Web page: http://www.nhh.no/en/research-faculty/department-of-business-and-management-science.aspx
More information through EDIRC
Patient lists; efficient welfare; statistical distributions;
Find related papers by JEL classification:
- I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
- I30 - Health, Education, and Welfare - - Welfare and Poverty - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2006-10-21 (All new papers)
- NEP-HEA-2006-10-21 (Health Economics)
- NEP-UPT-2006-10-21 (Utility Models & Prospect Theory)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Jörnsten, Kurt & Ubøe, Jan, 2005. "Efficient Statistical Equilibria in Markets," Discussion Papers 2005/2, Department of Business and Management Science, Norwegian School of Economics.
- 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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