Mortality tempo versus removal of causes of mortality opposite views leading to different estimations of life expectancy

We propose an alternative way of dealing with mortality tempo. Bongaarts and Feeney have developed a model that assumes a fixed delay postponing each death. Our model, however, assumes that changes take place with the removal of a given cause of mortality. Cross-sectional risks of mortality by age a...

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Bibliographic Details
Published inDemographic research Vol. 13; pp. 615 - 640
Main Author Le Bras, Hervé
Format Journal Article
LanguageEnglish
Published Max Planck Institute for Demographic Research 21.12.2005
Subjects
Age
Age groups
Causal Models
Causes of death
Death
Demography
Estimation
Life expectancy
Life Tables
Longevity
Modeling
Mortality
Mortality Rates
Quotients
Research Article
Research methods
Time
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Summary:We propose an alternative way of dealing with mortality tempo. Bongaarts and Feeney have developed a model that assumes a fixed delay postponing each death. Our model, however, assumes that changes take place with the removal of a given cause of mortality. Cross-sectional risks of mortality by age and expectations of life therefore are not biased, contrary to the model of the two authors. Treating the two approaches as two particular cases of a more general process, we demonstrate that these two particular cases are the only ones that have general properties: The only model enjoying a decomposable expression is the removal model and the only model enjoying the proportionality property is the fixed delay model.
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ISSN:1435-9871
1435-9871
DOI:10.4054/DemRes.2005.13.25