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How Far Are NEET Youth Falling Behind in Their Non-Cognitive Skills? An Econometric Analysis of Disparities

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  • Garen Avanesian

    (Future Skills Research Lab, Southern Federal University, 344006 Rostov-on-Don, Russia)

  • Marina Borovskaya

    (Future Skills Research Lab, Southern Federal University, 344006 Rostov-on-Don, Russia)

  • Marina Masych

    (Future Skills Research Lab, Southern Federal University, 344006 Rostov-on-Don, Russia)

  • Ludmila Dikaya

    (Future Skills Research Lab, Southern Federal University, 344006 Rostov-on-Don, Russia)

  • Victoria Ryzhova

    (Future Skills Research Lab, Southern Federal University, 344006 Rostov-on-Don, Russia)

  • Valeria Egorova

    (Future Skills Research Lab, Southern Federal University, 344006 Rostov-on-Don, Russia)

Abstract

Youth not in education, employment, or training (NEET) refers to the most vulnerable group in the transition from school to work. While much research focuses on institutional factors behind the NEET incidence, the current study approaches the problem of the NEET youth from the perspective of non-cognitive skills. For measuring non-cognitive skills, the Big Five personality characteristics (openness, conscientiousness, extraversion, agreeableness, neuroticism) as well as grit were analyzed. The analysis was carried out using propensity score matching based on the data of the Russian Longitudinal Monitoring Survey (RLMS HSE) for 2016. This study shows that the majority of young people in the NEET group come from the poorest families. Nearly half of the NEET youth are not only not working, but they are also not looking for a job either. The analysis revealed that NEET youth fall behind in different non-cognitive abilities, with statistically significant differences in conscientiousness, extraversion, and grit, as well as a greater severity of neuroticism.

Suggested Citation

  • Garen Avanesian & Marina Borovskaya & Marina Masych & Ludmila Dikaya & Victoria Ryzhova & Valeria Egorova, 2024. "How Far Are NEET Youth Falling Behind in Their Non-Cognitive Skills? An Econometric Analysis of Disparities," Economies, MDPI, vol. 12(1), pages 1-15, January.
    • Handle: RePEc:gam:jecomi:v:12:y:2024:i:1:p:25-:d:1322767
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    1. Toomet, Ott & Henningsen, Arne, 2008. "Sample Selection Models in R: Package sampleSelection," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i07).
    2. James J. Heckman & Jora Stixrud & Sergio Urzua, 2006. "The Effects of Cognitive and Noncognitive Abilities on Labor Market Outcomes and Social Behavior," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 411-482, July.
    3. Wichert, Laura & Pohlmeier, Winfried, 2010. "Female labor force participation and the big five," ZEW Discussion Papers 10-003, ZEW - Leibniz Centre for European Economic Research.
    4. Zetterberg, Johnny, 2005. "Swedish evidence on the impact of cognitive and non-cognitive ability on earnings – an extended pre-market factor approach," Working Paper Series 2005:16, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    5. Melissa Osborne & Herbert Gintis & Samuel Bowles, 2001. "The Determinants of Earnings: A Behavioral Approach," Journal of Economic Literature, American Economic Association, vol. 39(4), pages 1137-1176, December.
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    1. Garen Avanesian, 2025. "Do Non-Cognitive Skills Produce Heterogeneous Returns Across Different Wage Levels Amongst Youth Entering the Workforce? A Quantile Mixed Model Approach," Economies, MDPI, vol. 13(5), pages 1-20, April.

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