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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.

Suggested Citation

  • Sandy Tubeuf & Marc Perronnin, 2008. "New prospects in the analysis of inequalities in health: a measurement of health encompassing several dimensions of health," Health, Econometrics and Data Group (HEDG) Working Papers 08/01, HEDG, c/o Department of Economics, University of York.
  • Handle: RePEc:yor:hectdg:08/01
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    References listed on IDEAS

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    1. Mark B. Stewart, 1983. "On Least Squares Estimation when the Dependent Variable is Grouped," Review of Economic Studies, Oxford University Press, vol. 50(4), pages 737-753.
    2. 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).
    3. 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.
    4. Lindeboom, Maarten & van Doorslaer, Eddy, 2004. "Cut-point shift and index shift in self-reported health," Journal of Health Economics, Elsevier, vol. 23(6), pages 1083-1099, November.
    5. 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.
    6. 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, July.
    7. Hendrik Jürges, 2007. "True health vs response styles: exploring cross-country differences in self-reported health," Health Economics, John Wiley & Sons, Ltd., vol. 16(2), pages 163-178.
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    Citations

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    Cited by:

    1. repec:dau:papers:123456789/5065 is not listed on IDEAS
    2. Sandy Tubeuf & Florence Jusot & Marion Devaux & Catherine Sermet, 2008. "Social heterogeneity in self-reported health status and measurement of inequalities in health," Working Papers DT12, IRDES institut for research and information in health economics, revised Jun 2008.
    3. repec:dau:papers:123456789/9524 is not listed on IDEAS
    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. 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.
    6. Florence Jusot & Sandy Tubeuf & Alain Trannoy, 2010. "Effort or Circumstances: Does the Correlation Matter for Inequality of Opportunity in Health?," Working Papers DT33, IRDES institut for research and information in health economics, revised Jul 2010.
    7. repec:dau:papers:123456789/7004 is not listed on IDEAS

    More about this item

    Keywords

    health measurement; France; reported morbidity; stochastic dominance;

    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 Behavior

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