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Inequality and bi-polarization in socioeconomic status and health: Ordinal approaches

Author

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  • Bénédicte H. Apouey

    (PSE - Paris School of Economics, PSE - Paris-Jourdan Sciences Economiques - ENS Paris - École normale supérieure - Paris - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique)

  • Jacques Silber

    () (Department of Economics - Bar-Ilan University [Israël], CEPS/INSTEAD - Centre d'Etudes de Populations, de Pauvreté et de Politiques Socio-Economiques / International Networks for Studies in Technology, Environment, Alternatives, Development - Centre d'Etudes de Populations, de Pauvreté et de Politiques Socio-Economiques / International Networks for Studies in Technology, Environment, Alternatives, Development)

Abstract

Traditional indices of bi-dimensional inequality and polarization were developed for cardinal variables and cannot be used to quantify dispersion in ordinal measures of socioeconomic status and health. This paper develops two approaches to the measurement of inequality and bi-polarization using only ordinal information. An empirical illustration is given for 24 European Union countries in 2004-2006 and 2011. Results suggest that inequalities and bi-polarization in income and health are especially large in Estonia and Portugal, and that inequalities have significantly increased in recent years in Austria, Belgium, Finland, Germany, and the Netherlands, whereas bi-polarization significantly decreased in France, Portugal, and the UK.

Suggested Citation

  • Bénédicte H. Apouey & Jacques Silber, 2013. "Inequality and bi-polarization in socioeconomic status and health: Ordinal approaches," PSE Working Papers halshs-00850014, HAL.
    • Handle: RePEc:hal:psewpa:halshs-00850014
    Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00850014
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    References listed on IDEAS

    as
    1. Benedicte Apouey, 2007. "Measuring health polarization with self-assessed health data," Health Economics, John Wiley & Sons, Ltd., vol. 16(9), pages 875-894.
    2. Eddy van Doorslaer & Xander Koolman, 2004. "Explaining the differences in income-related health inequalities across European countries," Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 609-628.
    3. Bénédicte H. Apouey, 2010. "On Measuring And Explaining Socioeconomic Polarization In Health With An Application To French Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(1), pages 141-170, March.
    4. Kobus, Martyna & Miłoś, Piotr, 2012. "Inequality decomposition by population subgroups for ordinal data," Journal of Health Economics, Elsevier, vol. 31(1), pages 15-21.
    5. Alain Trannoy & Sandy Tubeuf & Florence Jusot & Marion Devaux, 2010. "Inequality of opportunities in health in France: a first pass," Health Economics, John Wiley & Sons, Ltd., vol. 19(8), pages 921-938, August.
    6. Adam Wagstaff & Eddy van Doorslaer, 2004. "Overall versus socioeconomic health inequality: a measurement framework and two empirical illustrations," Health Economics, John Wiley & Sons, Ltd., vol. 13(3), pages 297-301.
    7. Groot, Wim, 2000. "Adaptation and scale of reference bias in self-assessments of quality of life," Journal of Health Economics, Elsevier, vol. 19(3), pages 403-420, May.
    8. Abul Naga, Ramses H. & Yalcin, Tarik, 2008. "Inequality measurement for ordered response health data," Journal of Health Economics, Elsevier, vol. 27(6), pages 1614-1625, December.
    9. Adi Lazar & Jacques Silber, 2013. "On The Cardinal Measurement Of Health Inequality When Only Ordinal Information Is Available On Individual Health Status," Health Economics, John Wiley & Sons, Ltd., vol. 22(1), pages 106-113, January.
    10. Doorslaer, Eddy van & Jones, Andrew M., 2003. "Inequalities in self-reported health: validation of a new approach to measurement," Journal of Health Economics, Elsevier, vol. 22(1), pages 61-87, January.
    11. Allison, R. Andrew & Foster, James E., 2004. "Measuring health inequality using qualitative data," Journal of Health Economics, Elsevier, vol. 23(3), pages 505-524, May.
    12. repec:dau:papers:123456789/268 is not listed on IDEAS
    13. Kakwani, Nanak & Wagstaff, Adam & van Doorslaer, Eddy, 1997. "Socioeconomic inequalities in health: Measurement, computation, and statistical inference," Journal of Econometrics, Elsevier, vol. 77(1), pages 87-103, March.
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. #HEJC papers for September 2013
      by academichealtheconomists in The Academic Health Economists' Blog on 2013-09-01 04:01:38

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    Cited by:

    1. 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.
    2. Bénédicte Apouey & Pierre-Yves Geoffard, 2015. "Le gradient et la transmission intergénérationnelle de la santé pendant l'enfance," Économie et Statistique, Programme National Persée, vol. 475(1), pages 113-133.
    3. SILBER, Jacques & XU, Yongsheng, 2016. "The Health Equivalent Adjusted Level (HEAL): Taking an Ordinal Approach to the Measurement of a Society's Health Achievements," Discussion paper series HIAS-E-31, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    4. Maria Livia ŞTEFĂNESCU, 2015. "Analyzing the health status of the population using ordinal data," Computational Methods in Social Sciences (CMSS), "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 3(1), pages 18-24, June.
    5. Klein, Ingo & Mangold, Benedikt, 2015. "Cumulative Paired ," FAU Discussion Papers in Economics 07/2015, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    6. 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.

    More about this item

    Keywords

    Inequality; Bi-polarization; Ordinal variables; Self-assessed health;

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