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Forecasts of cohort mortality after age 50

Author

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  • Kirill F. Andreev

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • James W. Vaupel

    (Max Planck Institute for Demographic Research, Rostock, Germany)

Abstract

No abstract is available for this item.

Suggested Citation

  • Kirill F. Andreev & James W. Vaupel, 2006. "Forecasts of cohort mortality after age 50," MPIDR Working Papers WP-2006-012, Max Planck Institute for Demographic Research, Rostock, Germany.
    • Handle: RePEc:dem:wpaper:wp-2006-012
    DOI: 10.4054/MPIDR-WP-2006-012
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    References listed on IDEAS

    as
    1. Harald Hannerz, 2001. "An extension of relational methods in mortality estimations," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 4(10), pages 337-368.
    2. McNown, Robert & Rogers, Andrei, 1992. "Forecasting cause-specific mortality using time series methods," International Journal of Forecasting, Elsevier, vol. 8(3), pages 413-432, November.
    3. Ronald Lee & Timothy Miller, 2001. "Evaluating the performance of the lee-carter method for forecasting mortality," Demography, Springer;Population Association of America (PAA), vol. 38(4), pages 537-549, November.
    4. A. R. Thatcher, 1999. "The long‐term pattern of adult mortality and the highest attained age," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 162(1), pages 5-43.
    5. Ronald Lee, 2000. "The Lee-Carter Method for Forecasting Mortality, with Various Extensions and Applications," North American Actuarial Journal, Taylor & Francis Journals, vol. 4(1), pages 80-91.
    6. Thomas Buettner, 2002. "Approaches and Experiences in Projecting Mortality Patterns for the Oldest-Old," North American Actuarial Journal, Taylor & Francis Journals, vol. 6(3), pages 14-29.
    7. Robert McNown & Andrei Rogers, 1989. "Forecasting Mortality: A Parameterized Time Series Approach," Demography, Springer;Population Association of America (PAA), vol. 26(4), pages 645-660, November.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Hong Li & Yang Lu & Pintao Lyu, 2021. "Coherent Mortality Forecasting for Less Developed Countries," Risks, MDPI, vol. 9(9), pages 1-21, August.
    2. van Raalte, Alyson A & Basellini, Ugofilippo & Camarda, Carlo Giovanni & Nepomuceno, Marília & Myrskylä, Mikko, 2022. "The dangers of drawing cohort profiles from period data: a research note," SocArXiv frkcw, Center for Open Science.
    3. Anthony Medford, 2017. "Best-practice life expectancy: An extreme value approach," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 36(34), pages 989-1014.
    4. Alyson van Raalte & Ugofilippo Basellini & Carlo Giovanni Camarda & Marília R. Nepomuceno & Mikko Myrskylä, 2022. "The dangers of drawing cohort profiles from period data: a research note," Working Papers ayadh-ohbnm4x3q6cor1, French Institute for Demographic Studies.
    5. Torri, Tiziana & Vaupel, James W., 2012. "Forecasting life expectancy in an international context," International Journal of Forecasting, Elsevier, vol. 28(2), pages 519-531.
    6. Kevin Dowd & David Blake & Andrew Cairns, 2010. "Facing up to uncertain life expectancy: The longevity fan charts," Demography, Springer;Population Association of America (PAA), vol. 47(1), pages 67-78, February.
    7. Agnieszka M. Werpachowska & Roman Werpachowski, 2017. "Microsimulations of Demographic Changes in England and Wales Under Different EU Referendum Scenarios," International Journal of Microsimulation, International Microsimulation Association, vol. 10(2), pages 103-117.
    8. Paras Shah & Allon Guez, 2009. "Mortality forecasting using neural networks and an application to cause-specific data for insurance purposes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(6), pages 535-548.
    9. Hatzopoulos, P. & Haberman, S., 2015. "Modeling trends in cohort survival probabilities," Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 162-179.

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    More about this item

    JEL classification:

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

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