Literature DB >> 20734557

Reexamining the Dominance of Birth Cohort Effects on Mortality.

Michael Murphy1.   

Abstract

The association between birth cohort and subsequent mortality has been of interest especially following publication of studies around 1930 of cohorts born up to the latter part of the nineteenth century, particularly for England and Wales. Updated results are presented for this population, together with those for two other cohorts, twentieth-century Japanese and British populations born about 1930, which have been identified as having particularly clear-cut birth cohort patterns, and which are used to underpin incorporation of cohort effects in both British official and actuarial mortality forecasts. Graphical methods used to identify cohort patterns are discussed. A number of limitations and difficulties are identified that mean that the conclusions about the predominance of cohort effects are less robust than often assumed. It is argued that alternative explanations should be considered and that the concentration on birth cohorts with particularly advantaged patterns may distort research priorities.

Mesh:

Year:  2010        PMID: 20734557     DOI: 10.1111/j.1728-4457.2010.00334.x

Source DB:  PubMed          Journal:  Popul Dev Rev        ISSN: 0098-7921


  9 in total

1.  Bayesian Population Forecasting: Extending the Lee-Carter Method.

Authors:  Arkadiusz Wiśniowski; Peter W F Smith; Jakub Bijak; James Raymer; Jonathan J Forster
Journal:  Demography       Date:  2015-06

2.  Rise, stagnation, and rise of Danish women's life expectancy.

Authors:  Rune Lindahl-Jacobsen; Roland Rau; Bernard Jeune; Vladimir Canudas-Romo; Adam Lenart; Kaare Christensen; James W Vaupel
Journal:  Proc Natl Acad Sci U S A       Date:  2016-03-28       Impact factor: 11.205

3.  Why did Danish women's life expectancy stagnate? The influence of interwar generations' smoking behaviour.

Authors:  Rune Lindahl-Jacobsen; Jim Oeppen; Silvia Rizzi; Sören Möller; Virginia Zarulli; Kaare Christensen; James W Vaupel
Journal:  Eur J Epidemiol       Date:  2016-09-16       Impact factor: 8.082

4.  Human actuarial aging increases faster when background death rates are lower: a consequence of differential heterogeneity?

Authors:  Kristen Hawkes; Ken R Smith; James K Blevins
Journal:  Evolution       Date:  2011-08-18       Impact factor: 3.694

5.  Period-Based Mortality Change: Turning Points in Trends since 1950.

Authors:  Nadine Ouellette; Magali Barbieri; John R Wilmoth
Journal:  Popul Dev Rev       Date:  2014-03

6.  Lifespan variation by occupational class: compression or stagnation over time?

Authors:  Alyson A van Raalte; Pekka Martikainen; Mikko Myrskylä
Journal:  Demography       Date:  2014-02

7.  Decomposing Current Mortality Differences Into Initial Differences and Differences in Trends: The Contour Decomposition Method.

Authors:  Dmitri A Jdanov; Vladimir M Shkolnikov; Alyson A van Raalte; Evgeny M Andreev
Journal:  Demography       Date:  2017-08

8.  Mortality cohort effects from mid-19th to mid-20th century Britain: did they exist?

Authors:  Yu-Kang Tu; Katherine Keyes; George Davey Smith
Journal:  Ann Epidemiol       Date:  2014-06-14       Impact factor: 3.797

9.  Year of birth effects in the historical decline of tuberculosis mortality: a reconsideration.

Authors:  Romola J Davenport
Journal:  PLoS One       Date:  2013-12-11       Impact factor: 3.240

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.