IDEAS home Printed from
   My bibliography  Save this article

A multidimensional approach to measure health


  • María Noel Pi Alperin

    () (LISER - Luxembourg Institute of Socio-Economic Research)


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

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    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. Yitzhaki, Shlomo, 2002. "Do we need a separate poverty measurement?," European Journal of Political Economy, Elsevier, vol. 18(1), pages 61-85, March.
    3. 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.
    4. repec:dau:papers:123456789/7004 is not listed on IDEAS
    5. PI ALPERIN Maria Noel & BERZOSA Guayarmina, 2011. "A fuzzy logic approach to measure overweight," LISER Working Paper Series 2011-55, LISER.
    6. Stéphane Mussard & Pi Alperin María Noel, 2005. "Multidimensional Decomposition Of Poverty: A Fuzzy Set Approach," Cahiers de recherche 05-08, Departement d'Economique de l'École de gestion à l'Université de Sherbrooke.
    7. Shorrocks, A F, 1982. "Inequality Decomposition by Factor Components," Econometrica, Econometric Society, vol. 50(1), pages 193-211, January.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. 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.
    2. 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, LISER.
    3. 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.

    More about this item


    multidimensional health; decomposition; fuzzy sets; SHARE; Luxembourg;

    JEL classification:

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


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ebl:ecbull:eb-16-00449. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (John P. Conley). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.