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Measuring socioeconomic health inequalities in presence of multiple categorical information

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  • Makdissi, Paul
  • Yazbeck, Myra

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.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:jhecon:v:34:y:2014:i:c:p:84-95
    DOI: 10.1016/j.jhealeco.2013.11.008
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    Cited by:

    1. Paul Makdissi & Myra Yazbeck, 2014. "Robust Wagstaff Orderings of Distributions of Self-Reported Health Status," Discussion Papers Series 533, School of Economics, University of Queensland, Australia.
    2. MUSSARD Stéphane & PI ALPERIN Maria Noel & THIREAU Véronique, 2016. "Aggregable Health Inequality Indices," LISER Working Paper Series 2016-11, LISER.
    3. Mohamad Khaled & Paul Makdissi & Myra Yazbeck, 2020. "On Absolute Socioeconomic Health Inequality Comparisons," Working Papers 2020-072, Human Capital and Economic Opportunity Working Group.
    4. Kobus, Martyna & Kurek, Radosław, 2018. "Copula-based measurement of interdependence for discrete distributions," Journal of Mathematical Economics, Elsevier, vol. 79(C), pages 27-39.
    5. Martyna Kobus & Radosław Kurek, 2019. "Multidimensional polarization for ordinal data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(3), pages 301-317, September.
    6. Makdissi, Paul & Yazbeck, Myra, 2016. "Avoiding blindness to health status in health achievement and health inequality measurement," Social Science & Medicine, Elsevier, vol. 171(C), pages 39-47.
    7. Frank A Cowell & Martyna Kobus & Radoslaw Kurek, 2017. "Welfare and Inequality Comparisons for Uni- and Multi-dimensional Distributions of Ordinal Data," STICERD - Public Economics Programme Discussion Papers 31, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    8. Mohamad A. Khaled & Paul Makdissi & Rami V. Tabri & Myra Yazbeck, 2018. "A framework for testing the equality between the health concentration curve and the 45‐degree line," Health Economics, John Wiley & Sons, Ltd., vol. 27(5), pages 887-896, May.
    9. Alexander Silbersdorff & Julia Lynch & Stephan Klasen & Thomas Kneib, 2018. "Reconsidering the income‐health relationship using distributional regression," Health Economics, John Wiley & Sons, Ltd., vol. 27(7), pages 1074-1088, July.
    10. Paul Makdissi & Myra Yazbeck, 2017. "Robust rankings of socioeconomic health inequality using a categorical variable," Health Economics, John Wiley & Sons, Ltd., vol. 26(9), pages 1132-1145, September.
    11. Martyna Kobus & Radoslaw Kurek, 2017. "Copula-based measurement of interdependence for discrete distributions," Working Papers 431, ECINEQ, Society for the Study of Economic Inequality.
    12. Stéphane Mussard & Maria Noel Pi Alperin & Véronique Thireau, 2018. "Health inequality indices and exogenous risk factors: an illustration on Luxembourgish workers," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(9), pages 1285-1301, December.
    13. Paul Allanson, 2016. "Monitoring income-related health differences between regions in Great Britain: a new measurement framework," Dundee Discussion Papers in Economics 292, Economic Studies, University of Dundee, revised Jul 2016.
    14. Khaled, Mohamad A. & Makdissi, Paul & Yazbeck, Myra, 2018. "Income-related health transfers principles and orderings of joint distributions of income and health," Journal of Health Economics, Elsevier, vol. 57(C), pages 315-331.
    15. Martyna Kobus & Marcin Jakubek, 2015. "Youth unemployment and mental health: dominance approach. Evidence from Poland," IBS Working Papers 4/2015, Instytut Badan Strukturalnych.
    16. Mohamad A. Khaled & Paul Makdissi & Myra Yazbeck, 2018. "On the importance of the upside down test in absolute socioeconomic health inequality comparisons," Discussion Papers Series 600, School of Economics, University of Queensland, Australia.
    17. MUSSARD Stéphane & PI ALPERIN Maria Noel, 2016. "A Two-parameter Family of Socio-economic Health Inequality Indices: Accounting for Risk and Inequality Aversions," LISER Working Paper Series 2016-15, LISER.
    18. Costa-Font, Joan & Cowell, Frank, 2016. "The measurement of health inequalities: does status matter?," LSE Research Online Documents on Economics 67976, London School of Economics and Political Science, LSE Library.
    19. Nesson, Erik T. & Robinson, Joshua J., 2019. "On the measurement of health and its effect on the measurement of health inequality," Economics & Human Biology, Elsevier, vol. 35(C), pages 207-221.
    20. Nesson, Erik T. & Robinson, Joshua J., 2015. "An information theory based framework for the measurement of population health," Economics & Human Biology, Elsevier, vol. 17(C), pages 86-103.
    21. Alexander Silbersdorff & Julia Lynch & Stephan Klasen & Thomas Kneib, 2017. "Reconsidering the Income-Illness Relationship using Distributional Regression: An Application to Germany," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 231, Courant Research Centre PEG.
    22. Martyna Kobus & Olga Półchłopek & Gaston Yalonetzky, 2019. "Inequality and Welfare in Quality of Life Among OECD Countries: Non-parametric Treatment of Ordinal Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 201-232, May.
    23. Makdissi, Paul & Sylla, Daouda & Yazbeck, Myra, 2013. "Decomposing health achievement and socioeconomic health inequalities in presence of multiple categorical information," Economic Modelling, Elsevier, vol. 35(C), pages 964-968.

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    More about this item

    Keywords

    Population health; Socioeconomic health inequality; Health achievement; Categorical variables; Stochastic dominance;
    All these keywords.

    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • I10 - Health, Education, and Welfare - - Health - - - General

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