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Human Mortality at Extreme Ages: Data from the NLTCS and Linked Medicare Records

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  • KENNETH MANTON
  • IGOR AKUSHEVICH
  • ALEXANDER KULMINSKI

Abstract

An analysis using the 1982-1999 National Long-term Care Survey (NLTCS) linked to Medicare vital statistics data 1982-2003 focused on deaths at ages 85 + where deviations from the Gompertz mortality function are often observed. To model the complex mortality patterns observed at late age, standard mortality functions were generalized with i) a location parameter, ii) a fixed heterogeneity distribution, and iii) parameters expressing heterogeneity in the individuals' rate of aging. The data are consistent with not only an upper bound to mortality rates but also declines in the yearly hazard rates at ages 100 + . To determine if these patterns could be due to errors in age reporting, effects of plausible age misreporting patterns were simulated. Biases due to age misreporting at ages 95 to 115 did not materially change this pattern.

Suggested Citation

  • Kenneth Manton & Igor Akushevich & Alexander Kulminski, 2008. "Human Mortality at Extreme Ages: Data from the NLTCS and Linked Medicare Records," Mathematical Population Studies, Taylor & Francis Journals, vol. 15(3), pages 137-159.
    • Handle: RePEc:taf:mpopst:v:15:y:2008:i:3:p:137-159
    DOI: 10.1080/08898480802221665
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    References listed on IDEAS

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    Cited by:

    1. Dragone, Davide & Strulik, Holger, 2020. "Negligible senescence: An economic life cycle model for the future," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 264-285.

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