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Making health continuous: implications of different methods on the measurement of inequality

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  • Ann Lecluyse

    (Department of Economics, Faculty of Applied Economics, University of Antwerp, Belgium)

  • Irina Cleemput

    (Expert Economic Analysis, Belgian Health Care Knowledge Centre, Belgium)

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    Abstract

    In most national surveys, health is measured as a categorical variable. However, in order to be able to calculate socio-economic inequalities in health, a continuous variable is needed. The recently developed interval regression approach was shown to outperform to other approaches like ordered probit. In this research we investigate the impact of using different sets of external data to estimate health inequalities: the EQ-index and the Canadian HUI. We found that the concentration index differs, but the income-related health mobility index and its decomposition are highly similar. Copyright © 2005 John Wiley & Sons, Ltd.

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    File URL: http://hdl.handle.net/10.1002/hec.1015
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    Bibliographic Info

    Article provided by John Wiley & Sons, Ltd. in its journal Health Economics.

    Volume (Year): 15 (2006)
    Issue (Month): 1 ()
    Pages: 99-104

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    Handle: RePEc:wly:hlthec:v:15:y:2006:i:1:p:99-104

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    Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/5749

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    1. Doorslaer, Eddy van & Jones, Andrew M., 2003. "Inequalities in self-reported health: validation of a new approach to measurement," Journal of Health Economics, Elsevier, Elsevier, vol. 22(1), pages 61-87, January.
    2. 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., John Wiley & Sons, Ltd., vol. 13(7), pages 725-732.
    3. Groot, Wim, 2000. "Adaptation and scale of reference bias in self-assessments of quality of life," Journal of Health Economics, Elsevier, Elsevier, vol. 19(3), pages 403-420, May.
    4. Andrew M. Jones & Angel López Nicolás, 2004. "Measurement and explanation of socioeconomic inequality in health with longitudinal data," Health Economics, John Wiley & Sons, Ltd., John Wiley & Sons, Ltd., vol. 13(10), pages 1015-1030.
    5. Eddy van Doorslaer & Xander Koolman, 2004. "Explaining the differences in income-related health inequalities across European countries," Health Economics, John Wiley & Sons, Ltd., John Wiley & Sons, Ltd., vol. 13(7), pages 609-628.
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    Cited by:
    1. Sandy Tubeuf & Florence Jusot, 2011. "Social health inequalities among older Europeans: the contribution of social and family background," The European Journal of Health Economics, Springer, Springer, vol. 12(1), pages 61-77, February.
    2. Tubeuf, S, 2008. "Income-related inequalities in self-assessed health: comparisons of alternative measurements of health," Health, Econometrics and Data Group (HEDG) Working Papers, HEDG, c/o Department of Economics, University of York 08/04, HEDG, c/o Department of Economics, University of York.
    3. David Madden, 2008. "Ordinal and Cardinal Measures of Health Inequality - An Empirical Comparison," Working Papers, School Of Economics, University College Dublin 200813, School Of Economics, University College Dublin.
    4. Ann Lecluyse, 2007. "Income-related health inequality in Belgium: a longitudinal perspective," The European Journal of Health Economics, Springer, Springer, vol. 8(3), pages 237-243, September.
    5. Sandy Tubeuf, 2009. "Explaining wealth-related health inequalities in European countries: the contribution of childhood circumstances and adulthood conditions," Working Papers, Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds 0902, Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds.

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