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Mortality in Ireland at Advanced Ages, 1950-2006: Part 2: Graduated Rates

Published online by Cambridge University Press:  10 May 2011

S. F. Whelan
Affiliation:
School of Mathematical Sciences, University College Dublin, Ireland., Email: Shane.Whelan@ucd.ie

Abstract

We graduate the Irish mortality experience from 1950 to 2003 by mathematical formulae from ages 75 years and upwards. The shape of the mortality curve at advanced ages is shown to be different to that recorded in the official tables, with the curve best fitted with Kannisto's version of Perks's Law. Mortality rates show only a modest trend of improvement in the early decades, below improvements in other developed countries. We evaluate the various approaches suggested to date to extend the method of extinct generations so mortality rates for non-extinct generations can be estimated. It is shown that the key advantage of this method is not in correcting for age misstatements but in achieving a close correspondence between death counts and the exposed to risk. This insight allows a rather straightforward approach to estimating the mortality of non-extinct generations. Applying the approach, we show that there has been an acceleration in the rate of improvement in more recent decades, but secular improvements in Irish mortality at advanced ages still lag behind those of England and Wales.

Type
Papers
Copyright
Copyright © Institute and Faculty of Actuaries 2009

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References

Andreev, K.F. (1999). Demographic surfaces: estimation, assessment and presentation, with application to Danish mortality. Unpublished PhD dissertation, University of South Denmark.Google Scholar
Andreev, K.F. (2004). A method for estimating size of population aged 90 and over with applications to the 2000 U.S. Census Data. Demographic Research, 11(9), 235262.CrossRefGoogle Scholar
Andreev, K., Jdanov, D., Soroko, E. & Shkolnikov, V. (2003). Methodology: Kannisto–Thatcher database on old age mortality. Max Planck Institute for Demographic Research, Rostock, Germany. [Online].Google Scholar
Beard, R.E. (1964). Some observations on stochastic processes with particular reference to mortality studies. International Congress of Actuaries, 3, 463477.Google Scholar
Beard, R.E. (1971). Some aspects of theories of mortality, cause of death analysis, forecasting and stochastic processes. In (Brass, W., ed.) Biological Aspects of Demography, Taylor & Francis Ltd, London.Google Scholar
Benjamin, B. & Pollard, J.H. (1980). The analysis of mortality and other actuarial statistics. Heinemann, London, 2nd edition.Google Scholar
CSO (2004). Irish Life Tables no. 14, 2001–2003. Central Statistics Office. Published by the Stationery Office, Dublin.Google Scholar
Das Gupta, P. (1990). Reconstruction of the age distribution of the extreme aged in the 1980 census by the method of extinct generations. Washington, DC 20233: Population Division of US Bureau of the Census, 1990.Google Scholar
Forfar, D.O. (2004). Mortality laws. In (Teugels, J.F. & Sundt, B., eds.) Encyclopedia of Actuarial Science, 2, 11391145.Google Scholar
Gallop, A.P. & Macdonald, A.S. (2005). Mortality at advanced ages in the United Kingdom. Paper presented to Society of Actuaries Symposium, Living to 100 and beyond. January 12–14, Florida.Google Scholar
Gompertz, B. (1825). On the nature of the function of the law of human mortality and on a new mode of determining the value of life contingencies. Phil. Transactions of Royal Society, 115, 513585.Google Scholar
Heligman, L. & Pollard, J.H. (1980). The age pattern of mortality. Journal of the Institute of Actuaries, 107, 4980.CrossRefGoogle Scholar
Macdonald, A.S. (2001). Book Review: The Force of Mortality at Ages 80 to 120 by A.R. Thatcher V. Kannisto and J.W. Vaupel (1998). The Statistician, 50(1), 115.Google Scholar
Makeham, W.M. (1860). On the law of mortality. Journal of the Institute of Actuaries, XIII, 325358.Google Scholar
Olshansky, S.J. & Carnes, B.A. (1997). Ever since Gompertz. Demography, 34, 1, 1–15.CrossRefGoogle ScholarPubMed
Perks, W. (1932). On some experiments on the graduation of mortality statistics. Journal of the Institute of Actuaries, 63, 1240.CrossRefGoogle Scholar
Thatcher, A.R. (1992). Trends in numbers and mortality at high ages in England and Wales. Population Studies, 46, 411426.CrossRefGoogle ScholarPubMed
Thatcher, A.R., Kannisto, V. & Vaupel, J.W. (1998). The force of mortality at ages 80 to 120. Odense University Press, Odense, Denmark.Google Scholar
Thatcher, A.R., Kannisto, V. & Andreev, K. (2002). The survivor ratio method for estimating numbers at high ages. Demographic Research, 6(1), 118.CrossRefGoogle Scholar
Weibull, W. (1951). A statistical distribution function of wide applicability. Journal of Applied Mechanics, 18, 293297.CrossRefGoogle Scholar
Whelan, S.F. (2009). Mortality in Ireland at advanced ages, 1950–2006: Part 1: crude rates. Annals of Actuarial Science, 4, 3366.CrossRefGoogle Scholar