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Health and mortality of the elderly : the grade of membership method, classification and determination

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  • Portrait, France

    (Vrije Universiteit Amsterdam, Faculteit der Economische Wetenschappen en Econometrie (Free University Amsterdam, Faculty of Economics Sciences, Business Administration and Economitrics)

  • Lindeboom, Maarten
  • Deeg, Dorly

Abstract

With the aging of the society, issues concerning the reform of the Dutch health care system are ranked high on the political agenda. Sensible reforms of the health care system for the elderly require a thorough understanding of the health status of the old and of its dynamics preceding death. The health status of the elderly is intrinsically a multidimensional and dynamic concept and a rich set of indicators is needed to capture this concept in its full extent. This feature of health requires techniques to reduce dimensionality as it will in general be difficult to handle simultaneously all indicators in any economic analysis. In the first part of this paper we focus on methods that comprise these multidimensional measures into a limited number of indices. The Grade of Membership approach introduced by Manton and Woodbury in 1982 is specifically designed to characterize the complex concept of health. The method simultaneously identifies all dimensions of the concept of interest and the degrees to which an individual belongs to each of these types. We apply the method on a set of 21 indicators from a rich database of the Longitudinal Aging Study Amsterdam. The individual degrees of involvement in the different health dimensions obtained from this method are

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File URL: ftp://zappa.ubvu.vu.nl/19990022.pdf
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Bibliographic Info

Paper provided by VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics in its series Serie Research Memoranda with number 0022.

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Date of creation: 1999
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Handle: RePEc:dgr:vuarem:1999-22

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Web page: http://www.feweb.vu.nl

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  1. Martelin, Tuija, 1994. "Mortality by indicators of socioeconomic status among the finnish elderly," Social Science & Medicine, Elsevier, vol. 38(9), pages 1257-1278, May.
  2. Hausman, Jerry A & Wise, David A, 1979. "Attrition Bias in Experimental and Panel Data: The Gary Income Maintenance Experiment," Econometrica, Econometric Society, vol. 47(2), pages 455-73, March.
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Cited by:
  1. Bartolucci, Francesco & Giorgio E., Montanari & Pandolfi, Silvia, 2012. "Item selection by an extended Latent Class model: An application to nursing homes evaluation," MPRA Paper 38757, University Library of Munich, Germany.
  2. Fabrice Etilé & Carine Milcent, 2006. "Income-related reporting heterogeneity in self-assessed health: evidence from France," PSE Working Papers halshs-00590524, HAL.

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