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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
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    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. Timothy Riffe & Iñaki Permanyer & Rustam Tursun-Zade & Magdalena Muszynska-Spielauer, 2024. "Calculating the joint distribution of years lived in good and poor health," MPIDR Working Papers WP-2024-013, Max Planck Institute for Demographic Research, Rostock, Germany.
    13. 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.
    14. repec:idg:wpaper:awltfxmuxmqcvuzmm9ui is not listed on IDEAS
    15. 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.
    16. 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.

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