Iveson, M., Deary, I.J. & Dibben, C. (2017) UK Administrative Data Research Network Annual Research Conference, Royal College of Surgeons, Edinburgh, UK, 1 - 2 June 2017 [SLS]

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Abstract:

As the population ages, and individuals are expected to work and function for longer, it is increasingly important to understand what contributes to economic activity in later life. Recent work has shown that mid-life unemployment risk can be predicted by early-life circumstances, particularly childhood socioeconomic status and childhood cognitive ability. However, very little work has been done to investigate the contribution of early-life factors to unemployment risk in the latter-part of the working life, in which the rates of long-term unemployment are particularly high. The proposed study investigates the association between early-life factors (childhood cognitive ability and socioeconomic status) and the risk of unemployment in later-life by linking historical data from the Scottish Mental Survey 1947 to Scottish Census data from 1991, 2001 and 2011. Around 1800 linked records will be taken from the Scottish Longitudinal Study. In addition to investigating cognitive and social factors, the risk of unemployment will also be investigated in terms of the type of occupation or industry to account for the physical demands of the workplace and the changing trends in industrial employment. Understanding the factors which contribute to economic activity around retirement age may aid the development of interventions designed to promote productivity and wellbeing in older-age.

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Output from project: 2017_001