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Impact of career education on high school students’ occupational choice: Evidence from a cluster-randomized controlled trial

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  • Moriyasu, Ryosuke
  • Kobayashi, Toru

Abstract

What influence does career-relevant information have on occupational choices? This study analyzes changes in career preferences related to the provision of career-relevant information through a cluster-randomized controlled trial with students at a rural Japanese high school. We examined the potential effects of two types of information, including an information regarding impact of technological innovation on labor markets program (the “ICT-AI Impact on the Labor Market” program) and an information regarding how to deepen “self-understanding” (the “self-understanding” program). The results reveal that the ICT-AI Impact program did not induce statistically significant shifts in students’ occupational choices. By contrast, the self-understanding program shifted students’ occupational choices regarding professional occupations such as educational, medical, and legal professions. Our findings indicate that career-relevant information provision can be an effective policy tool in the labor market because the provision can support students’ occupational choices.

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  • Moriyasu, Ryosuke & Kobayashi, Toru, 2022. "Impact of career education on high school students’ occupational choice: Evidence from a cluster-randomized controlled trial," Japan and the World Economy, Elsevier, vol. 63(C).
    • Handle: RePEc:eee:japwor:v:63:y:2022:i:c:s0922142522000317
    DOI: 10.1016/j.japwor.2022.101146
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    1. repec:cdl:agrebk:qt15n8j26f is not listed on IDEAS
    2. Maarten Goos & Alan Manning & Anna Salomons, 2009. "Job Polarization in Europe," American Economic Review, American Economic Association, vol. 99(2), pages 58-63, May.
    3. Michèle Belot & Philipp Kircher & Paul Muller, 2019. "Providing Advice to Jobseekers at Low Cost: An Experimental Study on Online Advice," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(4), pages 1411-1447.
    4. Ioana Marinescu & Ronald Wolthoff, 2020. "Opening the Black Box of the Matching Function: The Power of Words," Journal of Labor Economics, University of Chicago Press, vol. 38(2), pages 535-568.
    5. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The Skill Content of Recent Technological Change: An Empirical Exploration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1279-1333.
    6. Anderson, Michael L., 2008. "Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects," Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1481-1495.
    7. Altmann, Steffen & Falk, Armin & Jäger, Simon & Zimmermann, Florian, 2018. "Learning about job search: A field experiment with job seekers in Germany," Journal of Public Economics, Elsevier, vol. 164(C), pages 33-49.
    8. Harry J. Holzer & Lawrence F. Katz & Alan B. Krueger, 1991. "Job Queues and Wages," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(3), pages 739-768.
    9. Van Reenen, John, 2011. "Wage inequality, technology and trade: 21st century evidence," Labour Economics, Elsevier, vol. 18(6), pages 730-741.
    10. 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.
    11. Eesley, Charles & Wang, Yanbo, 2017. "Social influence in career choice: Evidence from a randomized field experiment on entrepreneurial mentorship," Research Policy, Elsevier, vol. 46(3), pages 636-650.
    12. Jeffrey B. Liebman & Erzo F. P. Luttmer, 2015. "Would People Behave Differently If They Better Understood Social Security? Evidence from a Field Experiment," American Economic Journal: Economic Policy, American Economic Association, vol. 7(1), pages 275-299, February.
    13. Hemelt, Steven W. & Lenard, Matthew A. & Paeplow, Colleen G., 2019. "Building bridges to life after high school: Contemporary career academies and student outcomes," Economics of Education Review, Elsevier, vol. 68(C), pages 161-178.
    14. Daniel Kreisman & Kevin Stange, 2020. "Vocational and Career Tech Education in American High Schools: The Value of Depth Over Breadth," Education Finance and Policy, MIT Press, vol. 15(1), pages 11-44, Winter.
    15. David Figlio & Mark Rush & Lu Yin, 2013. "Is It Live or Is It Internet? Experimental Estimates of the Effects of Online Instruction on Student Learning," Journal of Labor Economics, University of Chicago Press, vol. 31(4), pages 763-784.
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    Keywords

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    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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