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An extension of relational methods in mortality estimations

Author

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  • Harald Hannerz

    (National Institute of Occupational Health (NIOH-DK))

Abstract

Actuaries and demographers have a long tradition of utilising collateral data to improve mortality estimates. Three main approaches have been used to accomplish the improvement- mortality laws, model life tables, and relational methods. The present paper introduces a regression model that incorporates all of the beneficial principles from each of these approaches. The model is demonstrated on mortality data pertaining to various groups of life insured people in Sweden.

Suggested Citation

  • 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.
    • Handle: RePEc:dem:demres:v:4:y:2001:i:10
    DOI: 10.4054/DemRes.2001.4.10
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    References listed on IDEAS

    as
    1. Arjun Adlakha, 1972. "Model life tables: An empirical test of their applicability to less developed countries," Demography, Springer;Population Association of America (PAA), vol. 9(4), pages 589-601, November.
    2. James Vaupel & Kenneth Manton & Eric Stallard, 1979. "The impact of heterogeneity in individual frailty on the dynamics of mortality," Demography, Springer;Population Association of America (PAA), vol. 16(3), pages 439-454, August.
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    Cited by:

    1. Booth, Heather, 2006. "Demographic forecasting: 1980 to 2005 in review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 547-581.
    2. Elsayed, E.A. & Zhang, Hao, 2007. "Design of PH-based accelerated life testing plans under multiple-stress-type," Reliability Engineering and System Safety, Elsevier, vol. 92(3), pages 286-292.
    3. 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.

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    More about this item

    Keywords

    applied mathematics; mortality law; collateral data; model life table; relational method;
    All these keywords.

    JEL classification:

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

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