Background:

Longevity and morbidity risks are of essential importance to the actuarial community. Longevity is increasing considerably both in developed and developing countries, including the UK. We believe that to be able to establish the drivers of this change, and to predict how they may change over time and how this would affect life expectancy, actuarial researchers need to engage in statistical modelling of mortality experience using large scale population-based individual level data collected over the long term. Big Actuarial Data such as the CMI data are then required to translate the results to the reference population of relevance to the actuarial community.

Details:

Principal researcher: Professor Elena Kulinskaya
Lead institution: University of East Anglia (UEA)
Other partners: Assistance from technical experts within Aviva
Start date: 2016
End date: 2021

 

 
Want to learn more about this programme?
 
ARC Webinar Series 2021 
 
Under the title, Use of Primary Health Care Records Data in Actuarial Research, Prof. Elena Kulinskaya and her team presented on the programmes finding.  To find out more please vist the ARC Webinar Series 2021 page. 
 
ARC Webinar Series 2018 

Following the successful launch of the ARC Webinar Series 2017, the ARC ran a further series of webinars in 2018 to showcase its largest cutting-edge research programmes, addressing some of the significant challenges in actuarial science. A recording of the webinar for this programme is available on YouTube and is posted on the IFoA's online learning webpages.

ARC Webinar Series 2017

In this webinar, Prof Elena Kulinskaya (UEA) and industry expert Nigel Wright (Aviva) introduced the research programme, presented a case study on statins and life expectancy and answered questions from the audience. IFoA members are able to access the webinar and claim CPD by logging on to the IFoA's online learning resources. Non-members can view the webinar on YouTube
 

 

 

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