Literature DB >> 26047687

Explaining patterns in the school-to-work transition: An analysis using optimal matching.

Richard Dorsett1, Paolo Lucchino2.   

Abstract

This paper studies the school to work transition in the UK with the aim of achieving a richer understanding of individuals' trajectories in the five years after reaching school leaving age. By applying the technique of 'optimal matching' on data from 1991 to 2008, we group individuals' trajectories post-16, and identify a small number of distinct transition patterns. Our results suggest that while 9 out of 10 young people have generally positive experiences post-16, the remaining individuals exhibit a variety of histories that might warrant policy attention. We assess the extent to which characteristics at age 16 can predict which type of trajectory a young person will follow. Our analysis shows that, despite the apparent heterogeneity, virtually all at-risk trajectories are associated with a relatively small set of key 'risk factors': early pregnancy; low educational attainment and self-confidence; and disadvantaged family background. These characteristics are known to be strongly correlated across individuals and raise concerns about the degree of socio-economic polarisation in the transition from school to work.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  NEET; Optimal matching; School to work transition; Youth unemployment

Mesh:

Year:  2014        PMID: 26047687     DOI: 10.1016/j.alcr.2014.07.002

Source DB:  PubMed          Journal:  Adv Life Course Res        ISSN: 1569-4909


  3 in total

1.  A NEET distinction: youths not in employment, education or training follow different pathways to illness and care in psychosis.

Authors:  Srividya Iyer; Sally Mustafa; Geneviève Gariépy; Jai Shah; Ridha Joober; Martin Lepage; Ashok Malla
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2018-08-09       Impact factor: 4.328

2.  Intervention outcome preferences for youth who are out of work and out of school: a qualitative study.

Authors:  Na Zhu; Lisa D Hawke; Matthew Prebeg; Em Hayes; Karleigh Darnay; Srividya N Iyer; Joanna Henderson
Journal:  BMC Psychol       Date:  2022-07-23

3.  Associations between Adolescent Psychosocial Factors and Disengagement from Education and Employment in Young Adulthood among Individuals with Common Mental Health Problems.

Authors:  Sümeyra N Tayfur; Susan Prior; Anusua Singh Roy; Donald Maciver; Kirsty Forsyth; Linda Irvine Fitzpatrick
Journal:  J Youth Adolesc       Date:  2022-03-11
  3 in total

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