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Mortality and smoking prevalence: An empirical investigation in ten developed countries

Published online by Cambridge University Press:  17 May 2013

Torsten Kleinow  and
Andrew J.G. Cairns
Torsten Kleinow*
Affiliation:
Heriot-Watt University and the Maxwell Institute for Mathematical Sciences, Edinburgh, UK
Andrew J.G. Cairns
Affiliation:
Heriot-Watt University and the Maxwell Institute for Mathematical Sciences, Edinburgh, UK
*
*Correspondence to: Torsten Kleinow, Department of Actuarial Mathematics and Statistics, School of Mathematical and Computer Sciences, Heriot-Watt University, EH14 4AS, Edinburgh, U.K. E-mail: [email protected]
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Abstract

We investigate the link between death rates and smoking prevalence in ten developed countries with the aim of using smoking prevalence data to explain differences in country-specific death rates. A particular problem in building a stochastic mortality model based on smoking prevalence is that there are in general no separate mortality data for smokers and non-smokers available. We show how we can estimate mortality rates for smokers and non-smokers using information about the smoking prevalence in a number of developed countries, and making an additional assumption about the death rates of smokers. We consider this empirical investigation to be the first step towards a consistent mortality model for multiple populations, which will require modelling of country specific differences in mortality, as well as non-smokers’ and smokers’ mortality rates.

Keywords

Mortality modelsmultiple population modelssmoking and mortality
Type
Sessional meetings: papers and abstracts of discussions
Information
British Actuarial Journal , Volume 18 , Issue 2 , July 2013 , pp. 452 - 466
Copyright
Copyright © Institute and Faculty of Actuaries 2013 

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Footnotes

1

Both authors acknowledge support from the Institute and Faculty of Actuaries.

References

Doll, R., Peto, R., Boreham, J., Sutherland, I. (2004). Mortality in relation to smoking: 50 years’ observations on male british doctors. British Medical Journal, 328(7455), 1519.Google Scholar
Ezzati, M., Lopez, A.D. (2003). Estimates of global mortality attributable to smoking in 2000. The Lancet, 362(9387), 847–852.Google Scholar
Forey, B., Hamling, J., Hamling, J., Lee, P. (2011). International Smoking Statistics – WEB Edition. P N Lee Statistics & Computing Ltd, Available at http://www.pnlee.co.uk/ISS.htm, data downloaded in March 2011.Google Scholar
Li, N., Lee, R. (2005). Coherent mortality forecasts for a group of populations: An extension of the Lee-Carter method. Demography, 42(3), 575–594. URL www.ncbi.nlm.nih.gov/pmc/articles/PMC1356525/Google Scholar
Peto, R., Boreham, J., Lopez, A.D., Thun, M., Heath, C. (1992). Mortality from tobacco in developed countries: indirect estimation from national vital statistics. The Lancet, 339(8804), 1268–1278.Google Scholar
Wilmoth, J., Andreev, K., Jdanov, D., Glei, D. (2007). Methods Protocol for the Human Mortality Database. University of California, Berkeley (USA), and Max Planck Institute for Demographic Research (Germany), Available at www.mortality.org or www.humanmortality.de, Last Revised: May 31, 2007 (Version 5).Google Scholar