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A common age effect model for the mortality of multiple populations

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  • Kleinow, Torsten

Abstract

We introduce a model for the mortality rates of multiple populations. To build the proposed model we investigate to what extent a common age effect can be found among the mortality experiences of several countries and use a common principal component analysis to estimate a common age effect in an age–period model for multiple populations. The fit of the proposed model is then compared to age–period models fitted to each country individually, and to the fit of the model proposed by Li and Lee (2005).

Suggested Citation

  • Kleinow, Torsten, 2015. "A common age effect model for the mortality of multiple populations," Insurance: Mathematics and Economics, Elsevier, vol. 63(C), pages 147-152.
    • Handle: RePEc:eee:insuma:v:63:y:2015:i:c:p:147-152
    DOI: 10.1016/j.insmatheco.2015.03.023
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    References listed on IDEAS

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    1. Nan Li & Ronald Lee, 2005. "Coherent mortality forecasts for a group of populations: An extension of the lee-carter method," Demography, Springer;Population Association of America (PAA), vol. 42(3), pages 575-594, August.
    2. Carter, Lawrence R. & Lee, Ronald D., 1992. "Modeling and forecasting US sex differentials in mortality," International Journal of Forecasting, Elsevier, vol. 8(3), pages 393-411, November.
    3. Kleinow, Torsten & Cairns, Andrew J.G., 2013. "Mortality and smoking prevalence: An empirical investigation in ten developed countries," British Actuarial Journal, Cambridge University Press, vol. 18(2), pages 452-466, July.
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