Measuring Socioeconomic Health Inequalities in Presence of Multiple Categorical Information
AbstractWhile many of the measurement approaches in health inequality measurement assume the existence of a ratio-scale variable,most of the health information available in population surveys is given in the form of categorical variables. Therefore, the well-known inequality indices may not always be readily applicable to measure health inequality as it may result in the arbitrariness of the health concentration index's value. In this paper, we address this problem by changing the dimension in which the categorical information is used. We therefore exploit the breadth of this information, define a new ratio-scaled health status variable and develop positional stochastic dominance conditions that can be implemented in a context of categorical variables. We also propose a parametric class of population health and socioeconomic health inequality indices. Finally we provide a twofold empirical illustration using the Joint Canada/United States Surveys of Health 2004 and the National Health Interview Survey 2010.
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Bibliographic InfoPaper provided by University of Ottawa, Department of Economics in its series Working Papers with number 1208E.
Length: 27 pages
Date of creation: 2012
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Population Health; Health Inequality; Stochastic Dominance;
Other versions of this item:
- 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.
- D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
- I10 - Health, Education, and Welfare - - Health - - - General
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