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Automation risks of vocational training programs and early careers in the Netherlands

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  • Dicks, Alexander
  • Künn-Nelen, Annemarie
  • Levels, Mark
  • Montizaan, Raymond

Abstract

In this article, we study the role of automation risks in the school-to-work transition (STWT) of secondary vocational education (VET) graduates in the Netherlands. We use a combination of administrative and survey data, enriched with estimates of automation risks. Using sequence analysis, we find four ideal-type school-to-work trajectories representing the first 10 years in the labor market: employment, further education, further VET, and NEET. Multinomial regressions show that automation risk is not consistently associated with the type of school-to-work trajectory. We also investigate the relation between automation risk and starting wages and wage growth. We find that automation risk is negatively associated with starting wages, but not with wage growth.

Suggested Citation

  • Dicks, Alexander & Künn-Nelen, Annemarie & Levels, Mark & Montizaan, Raymond, 2024. "Automation risks of vocational training programs and early careers in the Netherlands," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 67(4), pages 507-528.
    • Handle: RePEc:zbw:espost:310915
    DOI: 10.1177/00016993241250277
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    1. Eric A. Hanushek & Guido Schwerdt & Ludger Woessmann & Lei Zhang, 2017. "General Education, Vocational Education, and Labor-Market Outcomes over the Lifecycle," Journal of Human Resources, University of Wisconsin Press, vol. 52(1), pages 48-87.
    2. Lex Borghans & Bas Ter Weel & Bruce A. Weinberg, 2014. "People Skills and the Labor-Market Outcomes of Underrepresented Groups," ILR Review, Cornell University, ILR School, vol. 67(2), pages 287-334, April.
    3. Lex Borghans & Angela Lee Duckworth & James J. Heckman & Bas ter Weel, 2008. "The Economics and Psychology of Personality Traits," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    4. Wolfgang Dauth & Sebastian Findeisen & Jens Suedekum & Nicole Woessner, 2021. "The Adjustment of Labor Markets to Robots [“Skills, Tasks and Technologies: Implications for Employment and Earnings]," Journal of the European Economic Association, European Economic Association, vol. 19(6), pages 3104-3153.
    5. Eckhardt Bode & Stephan Brunow & Ingrid Ott & Alina Sorgner, 2019. "Worker Personality: Another Skill Bias beyond Education in the Digital Age," German Economic Review, Verein für Socialpolitik, vol. 20(4), pages 254-294, November.
    6. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    7. Cnossen, Femke & Piracha, Matloob & Tchuente, Guy, 2021. "Learning the Right Skill: The Returns to Social, Technical and Basic Skills for Middle-Educated Graduates," GLO Discussion Paper Series 979, Global Labor Organization (GLO).
    8. Alexandra Spitz-Oener, 2006. "Technical Change, Job Tasks, and Rising Educational Demands: Looking outside the Wage Structure," Journal of Labor Economics, University of Chicago Press, vol. 24(2), pages 235-270, April.
    9. Rica, Sara De La & Gortazar, Lucas & Lewandowski, Piotr, 2020. "Job Tasks and Wages in Developed Countries: Evidence from PIAAC," Labour Economics, Elsevier, vol. 65(C).
    10. Assar Lindbeck & Dennis J. Snower, 2001. "Insiders versus Outsiders," Journal of Economic Perspectives, American Economic Association, vol. 15(1), pages 165-188, Winter.
    11. Paul Ryan, 2001. "The School-to-Work Transition: A Cross-National Perspective," Journal of Economic Literature, American Economic Association, vol. 39(1), pages 34-92, March.
    12. Melanie Arntz & Terry Gregory & Ulrich Zierahn, 2016. "The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis," OECD Social, Employment and Migration Working Papers 189, OECD Publishing.
    13. Gregg, Paul & Tominey, Emma, 2005. "The wage scar from male youth unemployment," Labour Economics, Elsevier, vol. 12(4), pages 487-509, August.
    14. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2008. "Trends in U.S. Wage Inequality: Revising the Revisionists," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 300-323, May.
    15. Ljubica Nedelkoska & Glenda Quintini, 2018. "Automation, skills use and training," OECD Social, Employment and Migration Working Papers 202, OECD Publishing.
    16. Schmidpeter, Bernhard & Winter-Ebmer, Rudolf, 2021. "Automation, unemployment, and the role of labor market training," European Economic Review, Elsevier, vol. 137(C).
    17. Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
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