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Post-Compulsory Education Pathways and Labour Market Outcomes

Author

Listed:
  • Andy Dickerson
  • Emily McDool
  • Damon Morris

Abstract

We employ sequence analysis techniques to evaluate the myriad of different pathways individuals take through the education system into the labour market. Using data from the Longitudinal Study of Young People in England (LSYPE), matched to administrative records from the National Pupil Database (NPD), we compare the trajectories of individuals through compulsory and post-compulsory education and examine their early labour market outcomes, measured at age 25. We employ cluster analysis to identify groups of individuals who experience more similar education-employment transitions and examine the characteristics that could potentially be used to target those who are more at risk of poorer education and early labour market outcomes. As well as GCSE performance at age 16, particularly in Maths and English, we find that parental advice and aspirations, and attitudes towards HE formed by age 14, are all important in predicting individuals' pathways through post-compulsory education and into work.

Suggested Citation

  • Andy Dickerson & Emily McDool & Damon Morris, 2020. "Post-Compulsory Education Pathways and Labour Market Outcomes," CVER Research Papers 026, Centre for Vocational Education Research.
    • Handle: RePEc:cep:cverdp:026
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    References listed on IDEAS

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    1. Jake Anders & Richard Dorsett, 2015. "What young English people do once they reach school-leaving age: a cross-cohort comparison for the last 30 years," National Institute of Economic and Social Research (NIESR) Discussion Papers 454, National Institute of Economic and Social Research.
    2. Matthias Studer & Gilbert Ritschard, 2016. "What matters in differences between life trajectories: a comparative review of sequence dissimilarity measures," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(2), pages 481-511, February.
    3. Duncan McVicar & Michael Anyadike‐Danes, 2002. "Predicting successful and unsuccessful transitions from school to work by using sequence methods," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(2), pages 317-334, June.
    4. Sophie Hedges & Vahé Nafilyan & Stefan Speckesser & Augustin de Coulon, 2017. "Young people in low level vocational education: characteristics, trajectories and labour market outcomes," CVER Research Papers 004, Centre for Vocational Education Research.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    GCSE; labour; outcomes; HE; NEET;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education

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