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Measuring Inequality in Health

Author

Listed:
  • Bénédicte Apouey

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris sciences et lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris sciences et lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Jacques Silber

Abstract

The burden of poor health is greater among poorer social groups throughout the world. Measuring inequalities in health and understanding their origins are a prerequisite for implementing an efficient policy aiming at reducing inequalities. In this chapter, we present the literature on the measurement of health inequalities, distinguishing between cardinal and ordinal health variables and between the univariate and bivariate approaches. A number of empirical illustrations from the recent literature, which highlight important factors that could serve as targets to improve equality, is also presented.
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Suggested Citation

  • Bénédicte Apouey & Jacques Silber, 2022. "Measuring Inequality in Health," Post-Print halshs-03342456, HAL.
    • Handle: RePEc:hal:journl:halshs-03342456
    DOI: 10.1007/978-981-19-2023-3_7
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    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • I1 - Health, Education, and Welfare - - Health

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