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The Life Table pp 117-140 | Cite as

Age, period and cohort components in analysing past and projecting future mortality trends

  • Graziella Caselli
Chapter
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Part of the European Studies of Population book series (ESPO, volume 11)

Abstract

Recent mortality studies analyse period tables much differently than was previously the practice. Going back to the last century, a period which witnessed major, rapid progress in survival, thanks to period data mortality, trends could be described so as to interpret these in relation to socio-economic and medical-health developments. When mortality was still very high and gains in life expectancy were mainly attributable to the fall in mortality among infants and youth, by analysing period data, the extent to which a country made progress in health and hygiene could be assessed and this then compared with developments in other countries. Currently, in developed countries, where mortality at different ages is the lowest ever, it is no easy task to analyse recent trends and differences merely on the basis of a cross-sectional analysis. Even from a prospective outlook, future horizons would be somewhat curtailed if analysis were to be limited to a purely transversal vision of mortality data. This is because the period of major achievement has most likely ended. Further gains, besides being contained, increasingly depend on the life histories of cohorts, and particularly on their ability and willingness to adopt healthier life-styles which are more conducive to longer life-expectancy.

Keywords

Cohort Effect Adult Mortality Lung Cancer Mortality Mortality Trend Male Mortality 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Burgio, A. and L. Frova (1994), Previsioni di mortalita’ per causa: un modello età-periodo-coorte a confronte con un metodo di analisi delle serie storiche. In: L. Ciucci and F. Racioppi (eds), Study di popolazione. Nuovi approcci per la descrizione e l’interpretazione. Proceedings on “Convegno dei Giovani Studiosi dei Problemi di Popolazione”, Dipartimento di Scienze Demografiche, Rome, Università di Roma “La Sapienza”, pp. 453–476.Google Scholar
  2. Caselli, G. (1990), The influence of cohort effects on differentials and trends in mortality. In: J. Vallin, S. D’Souza and A. Palloni (eds.), Comparative Studies of Mortality: Old and New Approaches to Measurement and Analysis. Oxford: Claredon Press, pp. 229–249Google Scholar
  3. Caselli, G. (1996), Future Longevity among the Elderly. In: G. Caselli and A. Lopez (eds), Health and Mortality among Elderly Populations. Oxford: Claredon Press, pp. 235–265.Google Scholar
  4. Caselli, G. and R. Capocaccia (1989), Age, Period, Cohort and Early Mortality: An Analysis of Adult Mortality in Italy. Population Studies, 43, pp. 133–153.CrossRefGoogle Scholar
  5. Clyton, D. and R. Schifflers (1987), Models for temporal variation in cancer rates: age-period, age-cohort models. Statistics in Medicine, vol. 6.Google Scholar
  6. Gini, C. and L. Livi (1924), Alcuni aspetti delle perdite dell’Esercito italiano. Metron, vol. IV, n. 2.Google Scholar
  7. Hobcraft, J., J. Menken and S. Preston (1982), Age, period and cohort effects in demography: a review. Population Index, n. 48, pp. 217–259.CrossRefGoogle Scholar
  8. Holford, T.R. (1983), The estimation of age, period and cohort effects for vital rates. Biometrics, n. 39, pp. 311–324.CrossRefGoogle Scholar
  9. Horiuchi, S. (1983), The long-term impact of war on mortality: old-age mortality of First World War survivors in the Federal Republic of Germany. Population Bulletin of the United Nations, 15, pp. 80–92.Google Scholar
  10. Mason, W.M. and Smith H.L. (1984), Age-Period-Cohort Analysis and the Study of Deaths from Pulmonary Tuberculosis. Research Report 81–19, Ann Arbor: The Population Studies Center of the University of Michigan.Google Scholar
  11. Mortara, G. (1925), La salute pubblica in Italia durante il dopo guerra. Laterza Ed., Bari.Google Scholar
  12. Negri, E.C., La Vecchia C., Decarli A., Boyle P. (1990), Projections to the end of the century of mortality from major cancer sites in Italy. Tumori, n. 76.Google Scholar
  13. Osmond, C. and Gardner M.J. (1982), Age, Period and Cohort models applied to cancer mortality rates. Statistics in Medicine, 1 (3), pp. 245–259.CrossRefGoogle Scholar
  14. Wilmoth, J., Vallin, J. and Caselli, G. (1990), When does a cohort’s mortality differ from what we might expect? Population. English Selection, vol. 2, Paris, pp. 93–126.Google Scholar

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© Springer Science+Business Media Dordrecht 2002

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  • Graziella Caselli

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