How can a cause-of-death reduction be compensated for by the population heterogeneity? A dynamic approach

Details

Serval ID
serval:BIB_6F7E04543E72
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
How can a cause-of-death reduction be compensated for by the population heterogeneity? A dynamic approach
Journal
Insurance: Mathematics and Economics
Author(s)
Kaakaï Sarah, Labit Hardy Héloïse, Arnold Séverine, El Karoui Nicole
ISSN
0167-6687
Publication state
Published
Issued date
11/2019
Peer-reviewed
Oui
Volume
89
Pages
16-37
Language
english
Abstract
In the context of widening socioeconomic inequalities in mortality, it has become crucially important to understand the impact of population heterogeneity and its evolution on mortality. In particular, recent developments in multi-population mortality have raised a number of questions, among which is the issue of evaluating cause-of-death reduction targets set by national and international institutions in the presence of heterogeneity. The aim of this paper is to show how the population dynamics framework contributes to addressing these issues, relying on English population data and cause-specific number of deaths by socioeconomic circumstances, over the period 1981–2015.
The analysis of the data first highlights the complexity of recent demographic developments, characterized by significant compositional changes, with considerable variations according to the age class or cohort, along with a widening of socioeconomic inequalities. We then introduce a dynamic framework for studying the impact of composition changes on the mortality of the global population. In particular, we show how a cause-of-death reduction could be compensated for in the presence of heterogeneity, which could lead to misinterpretations when assessing public policies impacts and/or for the forecasting of future trends.
Keywords
Deprivation, Heterogeneity, Cause-of-death mortality, Cohort effect
Create date
06/11/2019 17:43
Last modification date
07/11/2019 7:10
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