Linked datasets to model occupational mobility in Britain

Nightingale, G., Ernsten, A. & McCollum, D. (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:

The pursuit of job satisfaction and occupational mobility can be mired down by intertwining personal, societal and place based factors. In this study we reveal the contributory effects of these factors on occupational mobility in both Scotland and the UK as a whole. For analysis at the Scotland level, we use the Scottish Longitudinal Study (SLS) which has been linked to the NHS Scotland postcode data dataset for the period 2001-2011 and for the UK as a whole, we use the British Household Panel Study (BHPS) and the UK Household Longitudinal Study (UKHLS) between the years 1991 to 2014.

This study innovatively combines various datasets to generate rich (timewise) data sources. The combination of the SLS and NHS Scotland data present a unique opportunity to assess the effect of migration on occupational mobility over 10 years. The combination of the BHPS and UKHLS datasets (with complex survey weights added in) affords a unique opportunity to investigate occupational mobility over a wide timeline of 24 years.

Key findings point to different occupational trajectories for males and females and the importance of geography (such as output areas), partnership status and household type in occupational mobility. Findings also indicate that the odds of experiencing positive occupational mobility were decreased after 2008 (recession year). Overall, these results are pivotal to an in-depth understanding of occupational mobility in Britain and are therefore valuable to policymakers and social scientists.

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Output from project: 2016_003

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