The authors will focus on a large dataset obtained from the UK’s Office for National Statistics (ONS) and related sources. Data are available at the level of Lower Super Output Areas (LSOAs) – small geographical areas with, typically, 1000-2000 residents and include death counts, exposures and a significant number of socio-economic variables including the index of multiple deprivation (IMD). A new approach has been used to analyse the data and identify which socio-economic indicators are best at predicting high or low mortality. Attention will also be given to regional variations in mortality, and it will be shown that these can largely be explained by regional variations in underlying socio-economic variables rather than unexplained regional effects.
The discussion will include: insights into mortality trends over the 16 year period in different socio-economic groups; and discussion of risk factors and their impact on specific causes of death.
This ARC research has been funded by the IFoA, SOA and CIA.
This sessional will be delivered by members of the research team working on the ARC “Modelling, Measurement and Management of Longevity and Morbidity Risk” programme, led by Professor Andrew Cairns of Heriot-Watt University.
|18.00-20.00||Programme will take place in the hall|
Staple Inn Hall, High Holborn, London, WC1V 7QJ
Nearest Public Transport
Chancery Lane Station