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Beating the Odds: Exploring the Impact of Social Risk on Young People's School-to-Work Transitions during Recession in the UK

Author

Listed:
  • Kathryn Duckworth
  • Ingrid Schoon

Abstract

Drawing on nationally representative data collected for two age cohorts in the UK, this paper a) assesses the effect of multiple independent socioeconomic risk factors in shaping the transition from school to work; and b) identifies potential protective factors enabling young people to beat the odds. By comparing experiences and findings across two cohorts we assess the generalisability of findings across contexts, i.e. the 2008 and 1980s recessions. The results show that some young people exposed to even severe socioeconomic risks avoid being NEET (not in education, employment or training). Factors that appear to reduce the cumulative risk effect in both cohorts include prior attainment, educational aspirations and school engagement, as well as the social mix of the school environment.

Suggested Citation

  • Kathryn Duckworth & Ingrid Schoon, 2012. "Beating the Odds: Exploring the Impact of Social Risk on Young People's School-to-Work Transitions during Recession in the UK," National Institute Economic Review, National Institute of Economic and Social Research, vol. 222(1), pages 38-51, October.
    • Handle: RePEc:sae:niesru:v:222:y:2012:i:1:p:r38-r51
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    Citations

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    Cited by:

    1. Steven Bradley & Robert Crouchley, 2017. "The effects of test scores and truancy on youth unemployment and inactivity: A simultaneous equations approach," Working Papers 189398493, Lancaster University Management School, Economics Department.
    2. Ng-Knight, Terry & Schoon, Ingrid, 2017. "Can locus of control compensate for socioeconomic adversity in the transition from school to work?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 46(10), pages 2114-2128.
    3. Steve Bradley & Rob Crouchley, 2020. "The effects of test scores and truancy on youth unemployment and inactivity: a simultaneous equations approach," Empirical Economics, Springer, vol. 59(4), pages 1799-1831, October.
    4. John Goodwin & Henrietta O'connor, 2013. "Ordinary Lives: ‘Typical Stories’ of Girls’ Transitions in the 1960s and the 1980s," Sociological Research Online, , vol. 18(1), pages 191-199, February.
    5. Duque, Magali & Mcknight, Abigail, 2019. "Understanding the relationship between inequalities and poverty: a review of dynamic mechanisms," LSE Research Online Documents on Economics 103457, London School of Economics and Political Science, LSE Library.
    6. Jan F. C. Gellermann & Philipp Fuchs, 2022. "The Role of Autonomy in the Transition to the World of Work," Social Inclusion, Cogitatio Press, vol. 10(2), pages 324-334.
    7. Daniel Gladwell & Gurleen Popli & Aki Tsuchiya, 2015. "A Dynamic Analysis of Skill Formation and NEET status," Working Papers 2015016, The University of Sheffield, Department of Economics.
    8. Schoon, Ingrid & Heckhausen, Jutta, 2019. "Conceptualizing Individual Agency in the Transition from School to Work: A Social-Ecological Developmental Perspective," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 4(2), pages 135-148.
    9. Annette Otto & Paul Webley, 2016. "Saving, Selling, Earning, and Negotiating: How Adolescents Acquire Monetary Lump Sums and Who Considers Saving," Journal of Consumer Affairs, Wiley Blackwell, vol. 50(2), pages 342-371, July.
    10. Magali Duque & Abigail McKnight, 2019. "Understanding the relationship between inequalities and poverty: a review of dynamic mechanisms," CASE Papers /217, Centre for Analysis of Social Exclusion, LSE.
    11. Daniel Gladwell & Gurleen Popli & Aki Tsuchiya, 2022. "Predictors of becoming not in education, employment or training: A dynamic comparison of the direct and indirect determinants," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 485-514, December.
    12. Kevin Ralston & Dawn Everington & Zhiqiang Feng & Chris Dibben, 2022. "Economic Inactivity, Not in Employment, Education or Training (NEET) and Scarring: The Importance of NEET as a Marker of Long-Term Disadvantage," Work, Employment & Society, British Sociological Association, vol. 36(1), pages 59-79, February.

    More about this item

    Keywords

    Human capital skills; occupational choice; labour productivity;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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