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Structural equation modeling for decomposing rank-dependent indicators of socioeconomic inequality of health: an empirical study

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  • Roselinde Kessels

    (University of Antwerp and Flemish Research Foundation (FWO))

  • Guido Erreygers

    (University of Melbourne)

Abstract

We present a flexible structural equation modeling (SEM) framework for the regression-based decomposition of rank-dependent indicators of socioeconomic inequality of health and compare 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 decomposition integrates the feedback mechanism between health and socioeconomic status and allows for different sets of determinants of these variables. We illustrate the SEM approach and its outperformance of OLS using data from the 2011 Ethiopian Demographic and Health Survey.

Suggested Citation

  • Roselinde Kessels & Guido Erreygers, 2016. "Structural equation modeling for decomposing rank-dependent indicators of socioeconomic inequality of health: an empirical study," Health Economics Review, Springer, vol. 6(1), pages 1-13, December.
    • Handle: RePEc:spr:hecrev:v:6:y:2016:i:1:d:10.1186_s13561-016-0134-2
    DOI: 10.1186/s13561-016-0134-2
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    References listed on IDEAS

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    Cited by:

    1. Jemimah Ride, 2019. "Is socioeconomic inequality in postnatal depression an early-life root of disadvantage for children?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(7), pages 1013-1027, September.
    2. Peng Nie & Andrew E. Clarck & Conchita D'Ambrosio & Lanlin Ding, 2020. "Income-related health inequality in urban China (1991-2015): The role of homeownership and housing conditions," Working Papers 524, ECINEQ, Society for the Study of Economic Inequality.
    3. Guido Erreygers & Roselinde Kessels & Linkun Chen & Philip Clarke, 2018. "Subgroup Decomposability of Income†Related Inequality of Health, with an Application to Australia," The Economic Record, The Economic Society of Australia, vol. 94(304), pages 39-50, March.
    4. Chipo Mutyambizi & Frederik Booysen & Andrew Stokes & Milena Pavlova & Wim Groot, 2019. "Lifestyle and socio-economic inequalities in diabetes prevalence in South Africa: A decomposition analysis," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-21, January.
    5. Derek Asuman & Ama Pokuaa Fenny & Doreen Nyarko Anyamesem Odame, 2021. "Trends and antecedents of inequalities in maternal healthcare coverage in four African countries," Journal of International Development, John Wiley & Sons, Ltd., vol. 33(3), pages 515-544, April.
    6. Laura Rossouw & Hana Ross, 2021. "Understanding Period Poverty: Socio-Economic Inequalities in Menstrual Hygiene Management in Eight Low- and Middle-Income Countries," IJERPH, MDPI, vol. 18(5), pages 1-14, March.
    7. Roselinde Kessels & Guido Erreygers, 2019. "A direct regression approach to decomposing socioeconomic inequality of health," Health Economics, John Wiley & Sons, Ltd., vol. 28(7), pages 884-905, July.
    8. Abrham Wondimu & Jurjen van der Schans & Marinus van Hulst & Maarten J. Postma, 2020. "Inequalities in Rotavirus Vaccine Uptake in Ethiopia: A Decomposition Analysis," IJERPH, MDPI, vol. 17(8), pages 1-14, April.

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