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A Unified Structural Equation Modelling Approach for the Decomposition of Rank-Dependent Indicators of Socioeconomic Inequality of Health

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  • Roselinde Kessels
  • Guido Erreygers

Abstract

We present a unified structural equation modelling framework for the regression-based decomposition of rank-dependent indicators of socioeconomic inequality of health and compare it with a simple ordinary least squares regression. The structural equation modelling 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.

Suggested Citation

  • Roselinde Kessels & Guido Erreygers, 2015. "A Unified Structural Equation Modelling Approach for the Decomposition of Rank-Dependent Indicators of Socioeconomic Inequality of Health," WIDER Working Paper Series wp-2015-017, World Institute for Development Economic Research (UNU-WIDER).
    • Handle: RePEc:unu:wpaper:wp-2015-017
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    References listed on IDEAS

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    8. Wagstaff, Adam & van Doorslaer, Eddy & Watanabe, Naoko, 2003. "On decomposing the causes of health sector inequalities with an application to malnutrition inequalities in Vietnam," Journal of Econometrics, Elsevier, vol. 112(1), pages 207-223, January.
    9. Guido Erreygers & Roselinde Kessels, 2017. "Socioeconomic Status and Health: A New Approach to the Measurement of Bivariate Inequality," IJERPH, MDPI, vol. 14(7), pages 1-23, June.
    10. Adam Wagstaff, 2005. "The bounds of the concentration index when the variable of interest is binary, with an application to immunization inequality," Health Economics, John Wiley & Sons, Ltd., vol. 14(4), pages 429-432, April.
    11. Allanson, Paul & Petrie, Dennis, 2013. "Longitudinal methods to investigate the role of health determinants in the dynamics of income-related health inequality," Journal of Health Economics, Elsevier, vol. 32(5), pages 922-937.
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    Cited by:

    1. Guido Erreygers & Roselinde Kessels & Linkun Chen & Philip Clarke, 2016. "Decomposing Socioeconomic Inequality of Health," EcoMod2016 9574, EcoMod.
    2. Camilla Sortsø & Jørgen Lauridsen & Martha Emneus & Anders Green & Peter Bjødstrup Jensen, 2017. "Socioeconomic inequality of diabetes patients’ health care utilization in Denmark," Health Economics Review, Springer, vol. 7(1), pages 1-22, December.
    3. Martha Tangeni Nghipandulwa & Alfred Kechia Mukong, 2023. "Estimating Income-Related Health Inequalities Associated with Tobacco and Alcohol Consumption in Namibia," IJERPH, MDPI, vol. 20(2), pages 1-17, January.
    4. Heckley, Gawain & Gerdtham, Ulf-G. & Kjellsson, Gustav, 2016. "A general method for decomposing the causes of socioeconomic inequality in health," Journal of Health Economics, Elsevier, vol. 48(C), pages 89-106.
    5. Christiansen, Terkel & Lauridsen, Jørgen T., 2016. "Dynamic Changes in Determinants of Inequalities in Health in Europe with Focus on Retired - with Particular Regard to Retired Danes," DaCHE discussion papers 2016:8, University of Southern Denmark, Dache - Danish Centre for Health Economics.

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    More about this item

    Keywords

    Children; Econometric models (Economic development); Equality and inequality; Health; Regression analysis;
    All these keywords.

    JEL classification:

    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • I00 - Health, Education, and Welfare - - General - - - General

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