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Mortality statistics for the oldest-old

Author

Listed:
  • Robert Bourbeau

    (Université de Montréal)

  • André Lebel

    (Université de Montréal)

Abstract

The main purposes of this paper is to evaluate the quality of Canadian data among the oldest-old (80+) over the 1951-1995 period, and to compare estimations of Canadian probabilities of death based on the extinct generation method with those of other developed countries in order to ascertain whether Canada experiences a distinct low mortality profile. The evaluation of the data quality suggests that Canadian data are quite good up to the age of 100, and that the main problems concern the centenarians (overstatement of age at death and errors in census age declarations). International comparisons on the basis of two mortality indicators for the 80-99 age-interval lead to the same conclusion: Canadian mortality is lower than in most European countries. The best match is still with the United States.

Suggested Citation

  • Robert Bourbeau & André Lebel, 2000. "Mortality statistics for the oldest-old," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 2(2).
    • Handle: RePEc:dem:demres:v:2:y:2000:i:2
    DOI: 10.4054/DemRes.2000.2.2
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    References listed on IDEAS

    as
    1. Christine Himes, 1994. "Age patterns of mortality and cause-of-death structures in Sweden, Japan, and the United States," Demography, Springer;Population Association of America (PAA), vol. 31(4), pages 633-650, November.
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    Cited by:

    1. Ernest Lo & Dan Vatnik & Andrea Benedetti & Robert Bourbeau, 2016. "Variance models of the last age interval and their impact on life expectancy at subnational scales," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(15), pages 399-454.
    2. Marília R. Nepomuceno & Cássio M. Turra, 2020. "The Population of Centenarians in Brazil: Historical Estimates from 1900 to 2000," Population and Development Review, The Population Council, Inc., vol. 46(4), pages 813-833, December.
    3. Dmitri A. Jdanov & Domantas Jasilionis & Eugeny L. Soroko & Roland Rau & James W. Vaupel, 2008. "Beyond the Kannisto-Thatcher Database on Old Age Mortality: an assessment of data quality at advanced ages," MPIDR Working Papers WP-2008-013, Max Planck Institute for Demographic Research, Rostock, Germany.
    4. Marilia Miranda Fortes Gomes & Cássio M. Turra, 2009. "The number of centenarians in Brazil: Indirect estimates based on death certificates," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 20(20), pages 495-502.

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    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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