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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. 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.
    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. 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.
    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. 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.
    6. 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.
    7. 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.
    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. 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.
    4. Hatzopoulos, P. & Haberman, S., 2015. "Modeling trends in cohort survival probabilities," Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 162-179.
    5. 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.
    6. Torri, Tiziana & Vaupel, James W., 2012. "Forecasting life expectancy in an international context," International Journal of Forecasting, Elsevier, vol. 28(2), pages 519-531.
    7. 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.
    8. 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.
    9. 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.

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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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