Measuring socioeconomic health inequalities in presence of multiple categorical information

Makdissi, Paul and Yazbeck, Myra (2014) Measuring socioeconomic health inequalities in presence of multiple categorical information. Journal of Health Economics, 34 1: 84-95. doi:10.1016/j.jhealeco.2013.11.008

Author Makdissi, Paul
Yazbeck, Myra
Title Measuring socioeconomic health inequalities in presence of multiple categorical information
Journal name Journal of Health Economics   Check publisher's open access policy
ISSN 0167-6296
Publication date 2014-03-01
Year available 2013
Sub-type Article (original research)
DOI 10.1016/j.jhealeco.2013.11.008
Volume 34
Issue 1
Start page 84
End page 95
Total pages 12
Place of publication Amsterdam, Netherlands
Publisher Elsevier North-Holland
Language eng
Formatted abstract
While 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 multi-dimensionality of this information, define a new ratio-scale 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.
Keyword Population health
Socioeconomic health inequality
Health achievement
Categorical variables
Stochastic dominance
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Available online 8 December 2013

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
School of Economics Publications
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Citation counts: TR Web of Science Citation Count  Cited 3 times in Thomson Reuters Web of Science Article | Citations
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Created: Tue, 04 Feb 2014, 01:01:56 EST by Alys Hohnen on behalf of School of Economics