IDEAS home Printed from https://ideas.repec.org/a/taf/mpopst/v10y2003i4p211-248.html
   My bibliography  Save this article

The Estimation Of Health Expectancies From Cross-Longitudinal Surveys

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/713644739
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/713644739?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Chia-Chun Liang & Wei-Chung Hsu & Yao-Te Tsai & Shao-Jen Weng & Ho-Pang Yang & Shih-Chia Liu, 2020. "Healthy Life Expectancies by the Effects of Hypertension and Diabetes for the Middle Aged and Over in Taiwan," IJERPH, MDPI, vol. 17(12), pages 1-9, June.
    2. Daniel C. Schneider, 2023. "Discrete-time multistate regression models in Stata," German Stata Conference 2023 02, Stata Users Group.
    3. Liming Cai & Mark D. 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.
    4. 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.
    5. William Lim & Gaurav Khemka & David Pitt & Bridget Browne, 2019. "A method for calculating the implied no-recovery three-state transition matrix using observable population mortality incidence and disability prevalence rates among the elderly," Journal of Population Research, Springer, vol. 36(3), pages 245-282, September.
    6. Holendro Singh Chungkham & Robin S. Högnäs & Jenny Head & Paola Zaninotto & Hugo Westerlund, 2023. "Estimating Working Life Expectancy: A Comparison of Multistate Models," SAGE Open, , vol. 13(2), pages 21582440231, May.
    7. Hal Caswell & Silke van Daalen, 2021. "Healthy longevity from incidence-based models: More kinds of health than stars in the sky," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 45(13), pages 397-452.
    8. Yu, Dandan & Lu, Bei & Piggott, John, 2022. "Alcohol consumption as a predictor of mortality and life expectancy: Evidence from older Chinese males," The Journal of the Economics of Ageing, Elsevier, vol. 22(C).
    9. 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.
    10. Cristina Giudici & Maria Arezzo & Nicolas Brouard, 2013. "Estimating health expectancy in presence of missing data: an application using HID survey," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(4), pages 517-534, November.
    11. 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.
    12. 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.
    13. Nicolas Brouard, 2019. "Theory and applications of backward probabilities and prevalences in cross-longitudinal surveys," Working Papers awltfxmuxmqcvuzmm9ui, French Institute for Demographic Studies.
    14. 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.
    15. Cristina Giudici & Silvia Polettini & Alessandra Rose & Nicolas Brouard, 2019. "Which Aspects of Elderly Living Conditions are Important to Predict Mortality? The Complex Role of Family Ties at Home and in Institutions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(3), pages 1255-1283, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    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:taf:mpopst:v:10:y:2003:i:4:p:211-248. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GMPS20 .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.