About the research
Full project title: Harmonising measures of occupation and education
This project examined how social background has influenced the educational attainment and careers of generations of British people, by harmonising measures of socio-economic status and educational attainment.
This allowed the project team to see how an individual’s socio-economic status can change over their lifetime, and how levels of social mobility have altered across different generations.
Over the years, different measures of social background have been used by CLOSER studies, but this harmonised dataset uses one common measure, Registrar General’s Social Class (father’s occupation), to determine socio-economic position.
To enable comparisons of childhood social background across generations, the new dataset contains information on family social class at one point in childhood − nearest to age 10/11. For adulthood comparisons of socio-economic position across the studies, data has been taken nearest to age 42.
Dr Claire Crawford (Institute for Fiscal Studies) and Chris Belfield (Institute for Fiscal Studies)
- 1946 MRC National Survey of Health and Development
- 1958 National Child Development Survey
- 1970 British Cohort Study
- Millennium Cohort Study
- Dataset containing harmonised variables measuring occupation from five longitudinal population studies – now available from the UK Data Service.
- A user guide to accompany the harmonised occupation dataset – available to download from the UK Data Service
- Dataset and documentation for education variables – not yet available. Sign up to CLOSER’s email newsletters to find out when they are published.
- Harmonisation of socio-economic resources (Session 1, CLOSER Cross-cohort research: Opportunities , challenges and examples workshop, September 2015).
- Belfield C, Crawford C, Greaves E, Gregg P, Macmillan L. Intergenerational income persistence within families. Institute for Fiscal Studies Working Paper W17/11. The Institute for Fiscal Studies. 2017.
Read about other CLOSER data harmonisation projects.