Abstract
We introduce a new modelling framework to explain socio-economic differences in
mortality in terms of an affluence index that combines information on individual
wealth and income. The model is illustrated using data on older Danish males over
the period 1985-2012 reported in the Statistics Denmark national register database. The model fits the historical mortality data well, captures their key features, generates smoothed death rates that allow us to work with a larger number of sub-groups than has previously been considered feasible, and has plausible projection properties.
mortality in terms of an affluence index that combines information on individual
wealth and income. The model is illustrated using data on older Danish males over
the period 1985-2012 reported in the Statistics Denmark national register database. The model fits the historical mortality data well, captures their key features, generates smoothed death rates that allow us to work with a larger number of sub-groups than has previously been considered feasible, and has plausible projection properties.
Original language | English |
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Pages (from-to) | 555-590 |
Number of pages | 36 |
Journal | ASTIN Bulletin: The Journal of the IAA |
Volume | 49 |
Issue number | 3 |
Early online date | 17 Jun 2019 |
DOIs | |
Publication status | Published - Sept 2019 |
Keywords
- Affluence index
- CBD-X model
- Danish mortality data
- forward correlation term structure
- gravity model
- multipopulation mortality modelling
ASJC Scopus subject areas
- Accounting
- Finance
- Economics and Econometrics
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Andrew John George Cairns
- School of Mathematical & Computer Sciences - Professor
- School of Mathematical & Computer Sciences, Actuarial Mathematics & Statistics - Professor
Person: Academic (Research & Teaching)