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Robust Wagstaff Orderings of Distributions of Self-Reported Health Status

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When assessing socioeconomic health inequalities researchers often draw upon measures of income inequality that were developed for ratio scale variables. As a result, the use of categorical data (such as self-reported health status) produces rankings that may be arbitrary and contingent to the scaling adopted. In this paper, we develop a method that overcomes this problem by providing conditions for which these rankings are invariant to the scaling function chosen by the researcher. In doing so, we draw on the insight provided by Alkire and Foster (2004) and extend their method to the dimension of socioeconomic inequality exploiting the properties of Wagstaff’s class of indices. We then provide an empirical illustration using the National Institute of Health Survey 2012.

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  • Paul Makdissi & Myra Yazbeck, 2014. "Robust Wagstaff Orderings of Distributions of Self-Reported Health Status," Discussion Papers Series 533, School of Economics, University of Queensland, Australia.
  • Handle: RePEc:qld:uq2004:533
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    1. Erreygers, Guido, 2009. "Correcting the Concentration Index: A reply to Wagstaff," Journal of Health Economics, Elsevier, vol. 28(2), pages 521-524, March.
    2. Makdissi, Paul & Yazbeck, Myra, 2014. "Measuring socioeconomic health inequalities in presence of multiple categorical information," Journal of Health Economics, Elsevier, vol. 34(C), pages 84-95.
    3. ERREYGERS, Guido, 2006. "Beyond the Health Concentration Index: An Atkinson alternative for the measurement of the socioeconomic inequality of health," Working Papers 2006029, University of Antwerp, Faculty of Business and Economics.
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    Cited by:

    1. Maria Livia ŞTEFĂNESCU, 2015. "Analyzing the health status of the population using ordinal data," Computational Methods in Social Sciences (CMSS), "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 3(1), pages 18-24, June.

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