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Post-compulsory education pathways and labour market outcomes

Author

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  • Andy Dickerson
  • Emily McDool
  • Damon Morris

Abstract

We use sequence analysis to compare the different trajectories that individuals take through the education system and into work and identify the characteristics that could be used to target those who are at most risk of poorer labour market outcomes. As well as age 16 exam performance, we find that parental advice, aspirations, and attitudes towards HE are important predictors of the pathways through education and into work. However, these pathways are not strongly determined at the end of compulsory education, and thus there are still opportunities for individuals to change their trajectory even after leaving school.

Suggested Citation

  • Andy Dickerson & Emily McDool & Damon Morris, 2023. "Post-compulsory education pathways and labour market outcomes," Education Economics, Taylor & Francis Journals, vol. 31(3), pages 326-352, May.
    • Handle: RePEc:taf:edecon:v:31:y:2023:i:3:p:326-352
    DOI: 10.1080/09645292.2022.2068137
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    1. 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.
    2. 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.
    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.
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    More about this item

    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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