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New prospects in the analysis of inequalities in health: a measurement of health encompassing several dimensions of health

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  • Sandy Tubeuf
  • Marc Perronnin

Abstract

This 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 Info

Paper 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.

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Date of creation: Feb 2008
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Handle: RePEc:yor:hectdg:08/01

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Postal: HEDG/HERC, Department of Economics and Related Studies, University of York, York, YO10 5DD, United Kingdom
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Fax: (0)1904 323759
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Web page: http://www.york.ac.uk/economics/postgrad/herc/hedg/
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Keywords: health measurement; France; reported morbidity; stochastic dominance;

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References

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  1. Stewart, Mark B, 1983. "On Least Squares Estimation When the Dependent Variable Is Grouped," Review of Economic Studies, Wiley Blackwell, vol. 50(4), pages 737-53, October.
  2. Hendrik Jürges, 2006. "True health vs. response styles: Exploring cross-country differences in self-reported health," MEA discussion paper series 06105, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
  3. Michael Baker & Mark Stabile & Catherine Deri, 2004. "What Do Self-Reported, Objective, Measures of Health Measure?," Journal of Human Resources, University of Wisconsin Press, vol. 39(4).
  4. Shmueli, Amir, 2003. "Socio-economic and demographic variation in health and in its measures: the issue of reporting heterogeneity," Social Science & Medicine, Elsevier, vol. 57(1), pages 125-134, July.
  5. Maarten Lindeboom & Eddy van Doorslaer, 2003. "Cut-point Shift and Index Shift in Self-reported Health," Tinbergen Institute Discussion Papers 03-042/3, Tinbergen Institute.
  6. Groot, Wim, 2000. "Adaptation and scale of reference bias in self-assessments of quality of life," Journal of Health Economics, Elsevier, vol. 19(3), pages 403-420, May.
  7. Ada Ferrer-i-Carbonell & Paul Frijters, 2004. "How Important is Methodology for the estimates of the determinants of Happiness?," Economic Journal, Royal Economic Society, vol. 114(497), pages 641-659, 07.
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Citations

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Cited by:
  1. David Madden, 2009. "Mental stress in Ireland, 1994-2000: a stochastic dominance approach," Health Economics, John Wiley & Sons, Ltd., vol. 18(10), pages 1202-1217.
  2. Trannoy, Alain & Tubeuf, Sandy & Jusot, Florence, 2013. "Circumstances and Efforts: How important is their correlation for the measurement of inequality of opportunity in health?," Economics Papers from University Paris Dauphine 123456789/5065, Paris Dauphine University.
  3. Jusot, Florence & Sermet, Catherine & Devaux, Marion & Tubeuf, Sandy, 2008. "Social heterogeneity in self-reported health status and measurement of inequalities in health," Economics Papers from University Paris Dauphine 123456789/7004, Paris Dauphine University.
  4. Tubeuf, S, 2008. "Income-related inequalities in self-assessed health: comparisons of alternative measurements of health," Health, Econometrics and Data Group (HEDG) Working Papers 08/04, HEDG, c/o Department of Economics, University of York.
  5. Trannoy, Alain & Tubeuf, Sandy & Jusot, Florence, 2010. "Effort or Circumstances : Which one matters in health inequality ?," Economics Papers from University Paris Dauphine 123456789/9524, Paris Dauphine University.

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