The 73 individual causes of sickness recorded in the data have been grouped into 15 ‘medically similar’ cause of sickness groups. The analysis of claim inceptions investigates which causes of sickness are most significant by age, sex, deferred period, occupation class and over time. The analysis of claimant recoveries shows that there are marked differences between the overall claim terminations experience of different cause groups which cannot be explained by variations in other rating factors.
The paper includes two separate further analyses that are linked to the analysis of claim inceptions. An analysis of cause of sickness by matched duration considers how the distribution of cause of sickness varies by deferred period. A preliminary analysis of the distribution of claim cost by cause of sickness builds on previous work to demonstrate the disparity between the distributions of claim incidence and claim cost by cause of sickness.
The paper also reviews previous research that has been carried out on this topic.
The accompanying spreadsheet contains two databases, covering inceptions and terminations experience, to enable practitioners to pursue further investigations.
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The purpose of this research paper is to explore enterprise risk management lessons which can be learnt from the Covid-19 pandemic in preparation for potential future pandemics as well as other “gray rhino” or “black swan” events. This paper is not intended to be an all-encompassing solution to the issues presented by Covid-19; rather, the content has been provided to help drive discussions regarding how risk management processes may need to evolve in line with the dynamic nature of the underlying risks that they sometimes need to capture.
This webinar will discuss good exam technique, including various approaches candidates can take in managing their time completing their exams in the online format.
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