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

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  • Ann Lecluyse
  • Irina Cleemput

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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  • 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, January.
    • Handle: RePEc:wly:hlthec:v:15:y:2006:i:1:p:99-104
    DOI: 10.1002/hec.1015
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    References listed on IDEAS

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    1. Andrew M. Jones & Angel López Nicolás, 2004. "Measurement and explanation of socioeconomic inequality in health with longitudinal data," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 1015-1030, October.
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    4. Eddy van Doorslaer & Xander Koolman, 2004. "Explaining the differences in income‐related health inequalities across European countries," Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 609-628, July.
    5. 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, July.
    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.
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    Cited by:

    1. Wei, Lan & Feeny, David, 2019. "The dynamics of the gradient between child's health and family income: Evidence from Canada," Social Science & Medicine, Elsevier, vol. 226(C), pages 182-189.
    2. Ann Lecluyse, 2007. "Income-related health inequality in Belgium: a longitudinal perspective," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 8(3), pages 237-243, September.
    3. Carmen Herrero & Antonio Villar, 2013. "On the Comparison of Group Performance with Categorical Data," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-7, December.
    4. repec:ags:ijag24:345043 is not listed on IDEAS
    5. Madden, D, 2008. "Ordinal and Cardinal Measures of Health Inequality: An Empirical Comparison," Health, Econometrics and Data Group (HEDG) Working Papers 08/09, HEDG, c/o Department of Economics, University of York.
    6. Nakana, Elvis & Mkhabela, Thulasizwe, 2011. "Performance determinants of wine farms in the Western Cape: An interval modelling approach," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 50(01), June.
    7. Max Coveney & Pilar García‐Gómez & Eddy Van Doorslaer & Tom Van Ourti, 2016. "Health Disparities by Income in Spain Before and After the Economic Crisis," Health Economics, John Wiley & Sons, Ltd., vol. 25(S2), pages 141-158, November.
    8. 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;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 12(1), pages 61-77, February.
    9. 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.
    10. David Madden, 2010. "Ordinal and cardinal measures of health inequality: an empirical comparison," Health Economics, John Wiley & Sons, Ltd., vol. 19(2), pages 243-250, February.

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