New prospects in the analysis of inequalities in health: a measurement of health encompassing several dimensions of health
AbstractThis paper develops an innovative method of constructing a concrete measure of health by taking into account individual health information. Using individual survey data from the 2002 IRDES Health and Health Insurance Survey, we propose a measurement of health based on the number of diseases and their respective severity level. The construction relies on a latent variable regression model explaining self-assessed health and controlling various social and health individual characteristics. We compare this construction to other methods proposed in literature for the measurement of health. Moreover, we show how the health index allows to compare distributions of health among di®erent populations and to evaluate inequalities in health in France by using stochastic dominance at first-order.
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Bibliographic InfoPaper provided by HEDG, c/o Department of Economics, University of York in its series Health, Econometrics and Data Group (HEDG) Working Papers with number 08/01.
Date of creation: Feb 2008
Date of revision:
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Postal: HEDG/HERC, Department of Economics and Related Studies, University of York, York, YO10 5DD, United Kingdom
Phone: (0)1904 323776
Fax: (0)1904 323759
Web page: http://www.york.ac.uk/economics/postgrad/herc/hedg/
More information through EDIRC
health measurement; France; reported morbidity; stochastic dominance;
Find related papers by JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
- I12 - Health, Education, and Welfare - - Health - - - Health Production
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