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A multidimensional approach to measure health

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  • María Noel Pi Alperin

    (LISER - Luxembourg Institute of Socio-Economic Research)

Abstract

In this paper, we borrow the methodology of the so-called “fuzzy approach to multidimensional poverty measurement†(see Cerioli and Zani 1990) in order to propose a different approach to measuring health. This multidimensional indicator satisfies three decomposition properties: by group, by health items, and the multidimensional decomposition. These techniques allow to better evaluate the structure of the population's global health. An empirical application of this synthetic indicator is proposed using the fifth wave of the SHARE survey in order to analyze the health status of the Luxembourgish population.

Suggested Citation

  • María Noel Pi Alperin, 2016. "A multidimensional approach to measure health," Economics Bulletin, AccessEcon, vol. 36(3), pages 1553-1568.
    • Handle: RePEc:ebl:ecbull:eb-16-00449
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    References listed on IDEAS

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    1. Sandy Tubeuf & Florence Jusot & Marion Devaux & Catherine Sermet, 2008. "Social heterogeneity in self-reported health status and measurement of inequalities in health," Working Papers DT12, IRDES institut for research and information in health economics, revised Jun 2008.
    2. Achille Lemmi & Gianni Betti (ed.), 2006. "Fuzzy Set Approach to Multidimensional Poverty Measurement," Economic Studies in Inequality, Social Exclusion, and Well-Being, Springer, number 978-0-387-34251-1, Fall.
    3. Satya R. Chakravarty, 2019. "An Axiomatic Approach to Multidimensional Poverty Measurement via Fuzzy Sets," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 123-141, Springer.
    4. Yitzhaki, Shlomo, 2002. "Do we need a separate poverty measurement?," European Journal of Political Economy, Elsevier, vol. 18(1), pages 61-85, March.
    5. Paul Makdissi & Myra Yazbeck & Hugo Coldeboeuf, 2011. "A Fuzzy Approach to the Measurement of Leakages for North American Health Systems," Cahiers de recherche 1107, CIRPEE.
    6. repec:dau:papers:123456789/7004 is not listed on IDEAS
    7. PI ALPERIN Maria Noel & BERZOSA Guayarmina, 2011. "A fuzzy logic approach to measure overweight," LISER Working Paper Series 2011-55, Luxembourg Institute of Socio-Economic Research (LISER).
    8. Stéphane Mussard & Pi Alperin María Noel, 2005. "Multidimensional Decomposition Of Poverty: A Fuzzy Set Approach," Cahiers de recherche 05-08, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    9. Shorrocks, A F, 1982. "Inequality Decomposition by Factor Components," Econometrica, Econometric Society, vol. 50(1), pages 193-211, January.
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    Citations

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    Cited by:

    1. Claire Bonnard & Jean-François Giret & Yann Kossi, 2020. "Risk of Social Exclusion and Resources of Young NEETs," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 514-515-5, pages 133-154.
    2. 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, Luxembourg Institute of Socio-Economic Research (LISER).
    3. GENEVOIS Anne-Sophie & LIEGEOIS Philippe & PI ALPERIN Maria Noel, 2019. "DyMH_LU: a simple tool for modelling and simulating the health status of the Luxembourgish elderly in the longer run," LISER Working Paper Series 2019-06, Luxembourg Institute of Socio-Economic Research (LISER).
    4. Giordana, Gastón A. & Pi Alperin, María Noel, 2023. "Old age takes its toll: Long-run projections of health-related public expenditure in Luxembourg," Economics & Human Biology, Elsevier, vol. 50(C).
    5. María Noel Pi Alperin & Magali Perquin & Gastón A. Giordana, 2023. "Population ageing and the public finance burden of dementia: A simulation analysis," BCL working papers 170, Central Bank of Luxembourg.
    6. Mussard, Stéphane & Pi Alperin, María Noel, 2021. "Accounting for risk factors on health outcomes: The case of Luxembourg," European Journal of Operational Research, Elsevier, vol. 291(3), pages 1180-1197.
    7. 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.

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    More about this item

    Keywords

    multidimensional health; decomposition; fuzzy sets; SHARE; Luxembourg;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • D3 - Microeconomics - - Distribution

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