Patient allocations according to circumstances and preferences: Modelling based on the Norwegian patient list system
AbstractIn some countries every citizen has the right to obtain a designated general practitioner. However, each individual may have preferences that cannot be fulfilled due to shortages of some kind. The questions raised in this paper are: To what extent can we expect that preferences are fulfilled when the patients “compete” for entry on the lists of practitioners? What changes can we expect under changing conditions? A particular issue explored in the paper is when the majority of women prefer a female doctor and there is a shortage of female doctors. The analysis is done on the macro level by the so called gravity model and on the micro level by recent theories of benefit efficient population behaviour. The approach is quite general and can be applied in a variety of contexts.
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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 2007/2.
Length: 20 pages
Date of creation: 08 Jan 2007
Date of revision:
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Web page: http://www.nhh.no/en/research-faculty/department-of-business-and-management-science.aspx
More information through EDIRC
Patient allocations; shortages; preferences; benefit efficiency; gravity model;
Find related papers by JEL classification:
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2007-02-17 (All new papers)
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.:
- Uboe, Jan & Lillestol, Jostein, 2007.
"Benefit efficient statistical distributions on patient lists,"
Journal of Health Economics,
Elsevier, vol. 26(4), pages 800-820, July.
- Ubøe, Jan & Lillestøl, Jostein, 2006. "Benefit efficient statistical distributions on patient lists," Discussion Papers 2006/3, Department of Business and Management Science, Norwegian School of Economics.
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