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Multi-population and factor-based mortality analytics

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WenJ_0122_macsSS.pdf (27.67Mb)
Date
2022-01
Author
Wen, Jie
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Abstract
In this thesis, I develop a model that uses socio-economic characteristics to explain differences in the mortality of different populations. This thesis has two main objectives. Firstly we look at mortality data of population from three countries/regions and test a wide range of stochastic multi-population mortality models with different sub-population datasets grouped using criteria relevant to socio-economic factors. The most appropriate model is selected and we can learn the mortality difference over the sub-populations that is explained by socio-economic differences. Secondly, we take advantage of a England demographic dataset of large volume and high granularity – a large number of small geographical areas (i.e. small neighbourhoods) along with mortality experiences and most relevant socio-economic factors in each of them. With this granular dataset we implement non-parametric and machine learning models. We eventually produce a mortality index for the small neighbourhoods in England using the estimated mortality rates.
URI
http://hdl.handle.net/10399/4554
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©Heriot-Watt University, Edinburgh, Scotland, UK EH14 4AS.

Maintained by the Library
Tel: +44 (0)131 451 3577
Library Email: libhelp@hw.ac.uk
ROS Email: open.access@hw.ac.uk

Scottish registered charity number: SC000278

  • About
  • Copyright
  • Accessibility
  • Policies
  • Privacy & Cookies
  • Feedback
AboutCopyright
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