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Title
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A unified structural equation modeling approach for the decomposition of rank-dependent indicators of socioeconomic inequality of health
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Author
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Abstract
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| In this paper we present a unied structural equation modeling (SEM) framework for the regression-based decomposition of rank- dependent indicators of socioeconomic inequality of health and com- pare it with simple ordinary least squares (OLS) regression. The SEM framework forms the basis for a proper use of the most prominent one- and two-dimensional decompositions and provides an argument for using the bivariate multiple regression model for two-dimensional decomposition. Within the SEM framework, the two-dimensional de- composition integrates the feedback mechanism between health and socioeconomic status and allows for dierent sets of determinants of these variables. We illustrate the SEM approach and its outperfor- mance to OLS using data from the Ethiopia 2011 Demographic and Health Survey (DHS). Acknowledgements: The research described in this paper was carried out while Roselinde Kessels was a postdoctoral fellow of the Research Foundation { Flanders (FWO). We thank Tom Van Ourti for his critical and constructive comments which have signicantly improved the paper and Mathias Reynaert for assistance with regard to the generalized method of moments (GMM) estimation procedure. Keywords: Inequality measurement, Concentration index, De- composition methods, Structural Equation Modeling. |
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Language
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English
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Source (series)
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Research paper / University of Antwerp, Faculty of Applied Economics ; 2014:
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Publication
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Antwerp
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Universiteit Antwerpen, Faculty of Applied Economics
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2014
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Volume/pages
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30 p.
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Full text (open access)
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