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Oldest Old Mortality in China

Author

Listed:
  • Yi Zeng

    (Duke University)

  • James W. Vaupel

    (Syddansk Universitet)

Abstract

We find that the Kannisto model, a two-parameter logistic formula, fits Han Chinese death rates at oldest-old ages better than the Gompertz and four other models. Chinese death rates appear to be roughly similar to Swedish and Japanese rates after age 97 for both males and females. Because reports of age seem to be serviceably reliable up to age 100 and perhaps age 105 in China, we think that this convergence may be mainly due to mortality selection in the heterogeneous Chinese population. We show that in China, as in developed countries, the rate of increase in mortality with age decelerates at very old ages.

Suggested Citation

  • Yi Zeng & James W. Vaupel, 2003. "Oldest Old Mortality in China," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 8(7), pages 215-244.
  • Handle: RePEc:dem:demres:v:8:y:2003:i:7
    DOI: 10.4054/DemRes.2003.8.7
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    References listed on IDEAS

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    1. Kenneth Manton & Eric Stallard & James Vaupel, 1981. "Methods For Comparing The Mortality Experience of Heterogeneous Populations," Demography, Springer;Population Association of America (PAA), vol. 18(3), pages 389-410, August.
    2. Irma Elo & Samuel Preston, 1994. "Estimating African-American mortality from inaccurate data," Demography, Springer;Population Association of America (PAA), vol. 31(3), pages 427-458, August.
    3. repec:cai:popine:popu_p2001_13n1_0116 is not listed on IDEAS
    4. Corti, M.-C. & Guralnik, J.M. & Ferrucci, L. & Izmirlian, G. & Leveille, S.G. & Pahor, M. & Cohen, H.J. & Pieper, C. & Havlik, R.J., 1999. "Evidence for a Black-White crossover in all-cause and coronary heart disease mortality in an older population: The North Carolina EPESE," American Journal of Public Health, American Public Health Association, vol. 89(3), pages 308-314.
    5. Mark Hill & Samuel Preston & Ira Rosenwaike, 2000. "Age reporting among white Americans aged 85+: Results of a record linkage study," Demography, Springer;Population Association of America (PAA), vol. 37(2), pages 175-186, May.
    6. Ansley Coale & Shaomin Li, 1991. "The Effect of Age Misreporting in China on the Calculation of Mortality Rates at Very High Ages," Demography, Springer;Population Association of America (PAA), vol. 28(2), pages 293-301, May.
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    Citations

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    Cited by:

    1. Yi Zeng & Danan Gu & Kenneth C. Land, 2003. "A new method for correcting the underestimation of disabled life expectancy inherent in conventional methods: application to the oldest old in China," MPIDR Working Papers WP-2003-033, Max Planck Institute for Demographic Research, Rostock, Germany.
    2. Cheng Li & Hong Mi, 2021. "Assessments of provincial mortality in China’s 2010 population census based on the Developing Countries Mortality Database model life table," Journal of Population Research, Springer, vol. 38(2), pages 169-196, June.
    3. Elizabeth Wrigley-Field, 2020. "Multidimensional Mortality Selection: Why Individual Dimensions of Frailty Don’t Act Like Frailty," Demography, Springer;Population Association of America (PAA), vol. 57(2), pages 747-777, April.
    4. Qian Lu & Katja Hanewald & Xiaojun Wang, 2021. "Subnational Mortality Modelling: A Bayesian Hierarchical Model with Common Factors," Risks, MDPI, vol. 9(11), pages 1-21, November.
    5. Danan Gu & Patrick Gerland & Kirill F. Andreev & Nan Li & Thomas Spoorenberg & Gerhard Heilig, 2013. "Old age mortality in Eastern and South-Eastern Asia," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(38), pages 999-1038.
    6. Qiang Li & Zhen Zhang, 2018. "Age trajectories of independence in daily living among the oldest old in China," European Journal of Ageing, Springer, vol. 15(4), pages 393-406, December.
    7. Dennis M. Feehan, 2018. "Separating the Signal From the Noise: Evidence for Deceleration in Old-Age Death Rates," Demography, Springer;Population Association of America (PAA), vol. 55(6), pages 2025-2044, December.

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    More about this item

    Keywords

    mortality; age; China; models;
    All these keywords.

    JEL classification:

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

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