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Measuring Health: A Multivariate Approach

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  • Jeroen Klomp
  • Jakob Haan

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  • Jeroen Klomp & Jakob Haan, 2010. "Measuring Health: A Multivariate Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 96(3), pages 433-457, May.
  • Handle: RePEc:spr:soinre:v:96:y:2010:i:3:p:433-457
    DOI: 10.1007/s11205-009-9486-x
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    References listed on IDEAS

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    1. Glenn Milligan & Martha Cooper, 1985. "An examination of procedures for determining the number of clusters in a data set," Psychometrika, Springer;The Psychometric Society, vol. 50(2), pages 159-179, June.
    2. World Bank, 2006. "World Development Indicators 2006," World Bank Publications - Books, The World Bank Group, number 8151, December.
    3. Office of Health Economics, 2007. "The Economics of Health Care," For School 001490, Office of Health Economics.
    4. David M. Cutler & Elizabeth Richardson, 1997. "Measuring the Health of the U.S. Population," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 28(1997 Micr), pages 217-282.
    5. Henry Kaiser, 1970. "A second generation little jiffy," Psychometrika, Springer;The Psychometric Society, vol. 35(4), pages 401-415, December.
    6. Klitgaard, Robert & Fedderke, Johannes, 1995. "Social integration and disintegration: An exploratory analysis of cross-country data," World Development, Elsevier, vol. 23(3), pages 357-369, March.
    7. Unto Häkkinen & Isabelle Joumard, 2007. "Cross-Country Analysis of Efficiency in OECD Health Care Sectors: Options for Research," OECD Economics Department Working Papers 554, OECD Publishing.
    8. Chester Harris & Henry Kaiser, 1964. "Oblique factor analytic solutions by orthogonal transformations," Psychometrika, Springer;The Psychometric Society, vol. 29(4), pages 347-362, December.
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    Citations

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    Cited by:

    1. Raffaele Lagravinese & Paolo Liberati & Giuliano Resce, 2020. "Measuring Health Inequality in US: A Composite Index Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(3), pages 921-946, February.
    2. Milenkovic, Nemanja & Vukmirovic, Jovanka & Bulajic, Milica & Radojicic, Zoran, 2014. "A multivariate approach in measuring socio-economic development of MENA countries," Economic Modelling, Elsevier, vol. 38(C), pages 604-608.
    3. De Matteis, Domenico & Ishizaka, Alessio & Resce, Giuliano, 2019. "The ‘postcode lottery’ of the Italian public health bill analysed with the hierarchy Stochastic Multiobjective Acceptability Analysis," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    4. Raffaele Lagravinese & Paolo Liberati & Giuliano Resce, 2017. "Exploring health outcomes by stochastic multi-objective acceptability analysis: an application to Italian regions," Working Papers. Collection B: Regional and sectoral economics 1703, Universidade de Vigo, GEN - Governance and Economics research Network.
    5. Sara Pinillos-Franco & Noelia Somarriba-Arechavala, 2019. "A Proposal for a Synthetic Health Indicator in the European Union: an Analysis of Gender Health Inequalities," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 14(4), pages 1019-1033, September.
    6. Färe, Rolf & Karagiannis, Giannis & Hasannasab, Maryam & Margaritis, Dimitris, 2019. "A benefit-of-the-doubt model with reverse indicators," European Journal of Operational Research, Elsevier, vol. 278(2), pages 394-400.
    7. Pablo Cabrera-Barona & Thomas Blaschke & Stefan Kienberger, 2017. "Explaining Accessibility and Satisfaction Related to Healthcare: A Mixed-Methods Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(2), pages 719-739, September.

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