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BTECs, higher education and labour market outcomes using the Longitudinal Education Outcome (LEO) dataset

Author

Listed:
  • Alice Battiston
  • Gavan Conlon
  • Pietro Patrignani

Abstract

In this paper, we investigate individual characteristics and labour market outcomes for students progressing to first degree qualifications after attaining a level 3 BTEC. Using a comparison group of individuals holding level 3 BTECs as their highest qualification, we estimate earnings and employment differentials for students progressing to a first degree. Earnings differentials estimates are typically positive and, in the most comprehensive specification used, around 18% and 22% (males and females respectively) for the group with level 3 BTECs and no A levels and about 15% and 23% for the group holding a combination of BTECs and A levels. Employment effects are also positive and between 1.5 and 2 percentage points. A comparison with outcomes observed for the group achieving first degree qualifications after achieving 2 or more A levels is more problematic due to the very substantial difference in characteristics between individuals who follow different routes into higher education. However, analysis by degree subject area suggests that earnings differentials are comparable across level 3 routes (BTECs and 2 + A levels) for students achieving degrees in 'Architecture', 'Engineering and Technology', and (for females only) 'Subjects allied to Medicine'.

Suggested Citation

  • Alice Battiston & Gavan Conlon & Pietro Patrignani, 2019. "BTECs, higher education and labour market outcomes using the Longitudinal Education Outcome (LEO) dataset," CVER Research Papers 024, Centre for Vocational Education Research.
  • Handle: RePEc:cep:cverdp:024
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    References listed on IDEAS

    as
    1. Alice Battiston & Gavan Conlon & Sophie Hedges & Pietro Patrignani, 2019. "Labour market outcomes disaggregated by subject area using the Longitudinal Education Outcomes (LEO) data," CVER Research Papers 021, Centre for Vocational Education Research.
    2. Wooldridge, Jeffrey M., 2007. "Inverse probability weighted estimation for general missing data problems," Journal of Econometrics, Elsevier, vol. 141(2), pages 1281-1301, December.
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