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Income-related inequalities in self-assessed health: comparisons of alternative measurements of health

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  • Tubeuf, S

Abstract

This study analyses income-related inequalities in health in France in 2004, using a decomposed concentration index and alternative refined measurements of health. Interval regression method is used to cardinalise self-assessed health. Results are offered at two levels. Firstly, this analysis shows income-related inequalities in health favouring socially advantaged groups. The strongest contributions to inequalities come from income level, education level and social status. Secondly, the analysis being carried out with alternative measurements of health, inequalities in health appear to vary quantitatively with both the number of categories of self-assessed health and the distribution of health used to cardinalise self-assessed health.

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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 08/04.

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Date of creation: Mar 2008
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Handle: RePEc:yor:hectdg:08/04

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Web page: http://www.york.ac.uk/economics/postgrad/herc/hedg/
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Keywords: concentration index; France; health measurement; HUI; SF6D;

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  1. Kakwani, Nanak & Wagstaff, Adam & van Doorslaer, Eddy, 1997. "Socioeconomic inequalities in health: Measurement, computation, and statistical inference," Journal of Econometrics, Elsevier, vol. 77(1), pages 87-103, March.
  2. Annie Mesrine, 2000. "La surmortalité des chômeurs : un effet catalyseur du chômage ?," Économie et Statistique, Programme National Persée, vol. 334(1), pages 33-48.
  3. Ann Lecluyse, 2007. "Income-related health inequality in Belgium: a longitudinal perspective," The European Journal of Health Economics, Springer, vol. 8(3), pages 237-243, September.
  4. Jorgen Lauridsen & Terkel Christiansen & Unto Häkkinen, 2004. "Measuring inequality in self-reported health-discussion of a recently suggested approach using Finnish data," Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 725-732.
  5. Humphries, Karin H. & van Doorslaer, Eddy, 2000. "Income-related health inequality in Canada," Social Science & Medicine, Elsevier, vol. 50(5), pages 663-671, March.
  6. Robert E. Leu & Martin Schellhorn, 2006. "The Evolution of Income-related Health Inequalities in Switzerland Over Time," CESifo Economic Studies, CESifo, vol. 52(4), pages 666-690, December.
  7. Ann Lecluyse & Irina Cleemput, 2006. "Making health continuous: implications of different methods on the measurement of inequality," Health Economics, John Wiley & Sons, Ltd., vol. 15(1), pages 99-104.
  8. Brazier, John & Roberts, Jennifer & Deverill, Mark, 2002. "The estimation of a preference-based measure of health from the SF-36," Journal of Health Economics, Elsevier, vol. 21(2), pages 271-292, March.
  9. 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.
  10. Wagstaff, Adam & van Doorslaer, Eddy & Watanabe, Naoko, 2003. "On decomposing the causes of health sector inequalities with an application to malnutrition inequalities in Vietnam," Journal of Econometrics, Elsevier, vol. 112(1), pages 207-223, January.
  11. Michel Grignon & Marc Perronnin & John N. Lavis, 2008. "Does free complementary health insurance help the poor to access health care? Evidence from France," Health Economics, John Wiley & Sons, Ltd., vol. 17(2), pages 203-219.
  12. Bernie J. O'Brien & Marian Spath & Gordon Blackhouse & J.L. Severens & Paul Dorian & John Brazier, 2003. "A view from the bridge: agreement between the SF-6D utility algorithm and the Health Utilities Index," Health Economics, John Wiley & Sons, Ltd., vol. 12(11), pages 975-981.
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Cited by:
  1. Nicolas R. Ziebarth, 2009. "Measurement of Health, the Sensitivity of the Concentration Index, and Reporting Heterogeneity," SOEPpapers on Multidisciplinary Panel Data Research 211, DIW Berlin, The German Socio-Economic Panel (SOEP).

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