- ACTUARIAL DATA SCIENCE
- AFIR / ERM / RISK
- ASTIN / NON-LIFE
- BANKING / FINANCE
- CORONA SPECIAL
- DIVERSITY & INCLUSION
- IACA / CONSULTING
We will take a detailed look at socio-economic variation in mortality across England. We analyse all-cause mortality at neighbourhood level with mortality rates linked to a number of socio-economic predictive variables that determine the character of a neighbourhood.
The predictive variables along with mortality outcomes are analysed using machine learning techniques, with the resulting output being the Longevity Index for England (LIFE). The LIFE index significantly outperforms commonly-used measures of deprivation as a predictor of mortality.
Amongst the predictive variables, income and employment deprivation are found to be key determinants of mortality, but also that urban-rural class and the presence of care homes in a neighbourhood have an important role to play in assessing underlying mortality rates relative to national mortality.
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