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The Estimation Of Health Expectancies From Cross-Longitudinal Surveys

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  • Agnes Lievre
  • Nicolas Brouard
  • Christopher Heathcote

Abstract

The method of maximum likelihood is used to estimate parameterized transition probabilities of a non-homogeneous Markov chain model of movements between the health states disability-free, disabled, and death. A complication is that individuals are observed at irregular intervals, implying that particular attention must be paid to computational issues. Numerical results including estimated health expectancies and their standard errors are given for data from the Longitudinal Study on Aging (LSOA) of 1984-86-88-90 (Kovar et al. 1992). The weak ergodicity of prevalence on the non-absorbing states is established and supports the hypothesis of the compression of morbidity.

Suggested Citation

  • Agnes Lievre & Nicolas Brouard & Christopher Heathcote, 2003. "The Estimation Of Health Expectancies From Cross-Longitudinal Surveys," Mathematical Population Studies, Taylor & Francis Journals, vol. 10(4), pages 211-248.
  • Handle: RePEc:taf:mpopst:v:10:y:2003:i:4:p:211-248
    DOI: 10.1080/713644739
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    Citations

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    Cited by:

    1. M. Duée & C. Rebillard, 2004. "Old age disability in France: a long run projection," Documents de Travail de la DESE - Working Papers of the DESE g2004-02, Institut National de la Statistique et des Etudes Economiques, DESE.
    2. Matthews, Ruth J. & Jagger, Carol & Hancock, Ruth M., 2006. "Does socio-economic advantage lead to a longer, healthier old age?," Social Science & Medicine, Elsevier, vol. 62(10), pages 2489-2499, May.
    3. Michel Guillot & Yan Yu, 2009. "Estimating health expectancies from two cross-sectional surveys," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 21(17), pages 503-534, October.
    4. Liming Cai & Mark Hayward & Yasuhiko Saito & James Lubitz & Aaron Hagedorn & Eileen Crimmins, 2010. "Estimation of multi-state life table functions and their variability from complex survey data using the SPACE Program," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 22(6), pages 129-158, January.
    5. Wouterse, Bram & Huisman, Martijn & Meijboom, Bert R. & Deeg, Dorly J.H. & Polder, Johan J., 2013. "Modeling the relationship between health and health care expenditures using a latent Markov model," Journal of Health Economics, Elsevier, vol. 32(2), pages 423-439.
    6. Emmanuelle Cambois & Caroline Laborde & Isabelle Romieu & Jean-Marie Robine, 2011. "Occupational inequalities in health expectancies in France in the early 2000s: Unequal chances of reaching and living retirement in good health," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 25(12), pages 407-436, August.
    7. Frans Willekens & Hein Putter, 2014. "Software for multistate analysis," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 31(14), pages 381-420, August.

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