Period and cohort effects on elderly mortality: a new relational model for smoothing mortality surfaces

Authors

  • Elisabetta Barbi Università di Roma “La Sapienza”
  • Carlo G. Camarda Max Planck Institute for Demographic Research

DOI:

https://doi.org/10.6092/issn.1973-2201/3604

Abstract

This study investigates the relative importance of period and cohort effects in adult and elderly mortality in Italy and Sweden in the second half of the 20th century. For this purpose, we devised a two-dimensional semi-parametric model for mortality surfaces that produces good fit to the data and robust estimates of the period and cohort parameters. The findings of this study show that period effects have been of primary importance in the process of mortality reduction at adult and old ages observed in the last decades. The effects of early-life conditions are modest and often not statistically significant

References

W.B. ARTHUR, J.W. VAUPEL (1984), Some General Relationships in Population Dynamics, “Population

Index”, Vol. 50(2):214-226.

E. BARBI, J.W. VAUPEL (2005), Comment on “Inflammatory Exposure and Historical Changes in Human

Life-Spans”, “Science”, Vol. 308.

E. BARBI, G. CASELLI (2003), Selection effects on regional survival differences in Italy, “Genus”, Vol.

LIX, 2, 37-61.

D.J.P. BARKER (1994), Mothers, babies and disease in later life. British Medical Journal Publishing

Group, London.

D.J.P. BARKER (1995), Fetal origins of coronary heart disease. “British Medical Journal”, 311: 171-

T. BENGTSSON, M. LINDSTROM (2000), Childhood misery and disease in later life: The effects on mortality

in old age of hazards experienced in early life, southern Sweden, 1760-1894, “Population Studies”,

, 263-277.

G. CASELLI, R. CAPOCACCIA (1989), Age, period, cohort and early mortality: an analysis of adult mortality

in Italy, “Population Studies”, 43:133-153.

G. CASELLI, J.W. VAUPEL, A. YASHIN (1985), Mortality in Italy: Contours of a Century of Evolution,

“Genus”, 39:1-12.

E. CRIMMINS, C. FINCH (2006), Infection, inflammation, height, and longevity, “Proceedings of the

National Academy of Science”, 103 (2): 498-503.

I.D. CURRIE, M. DURBAN, P.H. EILERS (2004), Smoothing and forecasting mortality rates, “Statistical

Modelling”, 4. 279-298.

G. DAVEY SMITH, D. KUH (2001), Commentary: William Ogilvy Kermack and the childhood origins of

adult health disease. “International Journal of Epidemiology”, 30:696-703.

G. DAVEY SMITH, C. HART, D. BLANE, D. HOLE (1998), Adverse socioeconomic conditions in childhood

and cause specific adult mortality: prospective observational study, “British Medical Journal”,

:1631-1635.

G. DOBLHAMMER (2004), The late life legacy of very early life, Demographic Research Monographs,

Springer Verlag, Heidelberg.

G. DOBLHAMMER, J.W. VAUPEL (2001), Lifespan depends on month of birth, “Proceedings of the

National Academy of Sciences of the United States of America”.

P.H. EILERS, B.D. MARX (1996), Flexible smoothing with B-splines and penalties, “Statistical Science”,

(2).

I. ELO, S. PRESTON (1992), Effects of early-life conditions on adult mortality: A review, “Population

index”, 58.

C. FINCH, E. CRIMMINS (2004), Inflammatory Exposure and Historical Changes in Human Life-Spans,

“Science”, vol. 305.

R.W. FOGEL (1993), New Sources and New Techniques for the Study of Secular Trends in Nutritional

Status, Health, Mortality, and the Process of Aging, “Historical Methods”, 26: 5-43.

A. FORSDAHL (1977), Are poor living conditions in childhood and adolescence an important risk for arteriosclerotic

heart disease?, “British journal of preventive and social medicine”, 31.

S. HORIUCHI (1983), The Long-term Impact of War on Mortality: Old-Age Mortality of the First

World War Survivors in the Federal Republic of Germany, “Population Bulletin of the United

Nations”, 15.

V. KANNISTO, K. CHRISTENSEN, J.W. VAUPEL (1997), No increased mortality in later life for cohorts

born during famine, “American Journal of Epidemiology”, 145:11, 987-994.

K.O. KERMACK, G. Mc KENDRICK, P.L. McKINLEY (1934), Death rates in Great Britain and Sweden:

some general regularities and their significance, “Lancet”, 698-703.

R. D. LEE, L.D. CARTER (1992). Modeling and Forecasting U.S. Mortality, “Journal of the American

Statistical Association”, 87: 659-671.

M. LIVI BACCI (1962), Alcune considerazioni sulle tendenze della mortalità senile e sull’eventuale influenza

selettiva della mortalità infantile, “Rivista Italiana di Economia, Demografia e Statistica”,

vol. XVIII, n. 3-4, 60-73.

M. MYRSKYLÄ (2010a), The effects of shocks in early life mortality on later life expectancy and mortality

compression: A cohort analysis, “Demographic Research”, 22: 289-320.

M. MYRSKYLÄ (2010b), The relative importance of shocks in a cohort’s early and later life conditions on

age-specific mortality, MPIDR working paper, 009.

G.J. VAN DEN BERG, G. DOBLHAMMER, K. CHRISYENSEN (2009), Exogenus determinants of early-life

conditions and mortality later in life, “Social Science and Medicine”, 68(9):1591-1598.

G.J. VAN DEN BERG, M. LINDEBOOM, F. PORTRAIT (2007), Long-run longevity effetcs of a nutritional

shock early in life: The Dutch potato famine of 1846-1847, IZA Discussion paper n° 3123.

J.W. VAUPEL (1999), The long-term pattern of adult mortality and the highest attained age. Discussion on

the paper by A R Thatcher. “Journal of the Royal Statistical Society”, Series A: Statistics in

Society. 162: 31-32.

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Published

2011-03-31

How to Cite

Barbi, E., & Camarda, C. G. (2011). Period and cohort effects on elderly mortality: a new relational model for smoothing mortality surfaces. Statistica, 71(1), 51–69. https://doi.org/10.6092/issn.1973-2201/3604

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