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Small differences matter: how regional distinctions in educational and labour market policy account for heterogeneity in NEET rates

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  • Johann Bacher

    (Johannes Kepler University)

  • Christina Koblbauer

    (Johannes Kepler University)

  • Heinz Leitgöb

    (Catholic University)

  • Dennis Tamesberger

    (Chamber of Labour)

Abstract

Labour market and education policy makers and researchers are increasingly focusing on the NEET indicator as a supplement to the youth unemployment rate. Analyses of factors influencing NEET have concentrated primarily on individual characteristics such as gender and migration background on one hand, and on macro-level factors of nations such as economic growth and minimum wage regulations on the other. However, nations are not homogenous, especially when a country is divided into several federal states, as is the case with Austria. This article aims to analyse regional differences within Austria. In order to explain the differences, we define a multilevel model that contains four contextual factors: the importance of upper secondary education; the importance of dual education; vacant jobs; and expenditures for active labour market policy. Because the institutional level addresses different age groups, the analysis was split into two age groups: 15–19 and 20–24 years. The results have shown that, besides the social structure of the population, contextual factors like the upper secondary education, the dual education, vacant jobs, and expenditures for active labour market policy are also relevant for explaining regional differences in the NEET rates. But one main insight was that the impact of the contextual factors varies between different social groups.

Suggested Citation

  • Johann Bacher & Christina Koblbauer & Heinz Leitgöb & Dennis Tamesberger, 2017. "Small differences matter: how regional distinctions in educational and labour market policy account for heterogeneity in NEET rates," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 51(1), pages 1-20, December.
    • Handle: RePEc:spr:jlabrs:v:51:y:2017:i:1:d:10.1186_s12651-017-0232-6
    DOI: 10.1186/s12651-017-0232-6
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    Cited by:

    1. Ruggero Cefalo & Rosario Scandurra & Yuri Kazepov, 2020. "Youth Labor Market Integration in European Regions," Sustainability, MDPI, vol. 12(9), pages 1-18, May.
    2. Carlos Pesquera Alonso & Práxedes Muñoz Sánchez & Almudena Iniesta Martínez, 2021. "Youth Guarantee: Looking for Explanations," Sustainability, MDPI, vol. 13(10), pages 1-13, May.
    3. Iacopo Odoardi, 2020. "Can parents’ education lay the foundation for reducing the inactivity of young people? A regional analysis of Italian NEETs," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(1), pages 307-336, April.
    4. Enrico Ripamonti & Stefano Barberis, 2021. "The association of economic and cultural capital with the NEET rate: differential geographical and temporal patterns," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 55(1), pages 1-17, December.
    5. Rosario Scandurra & Ruggero Cefalo & Yuri Kazepov, 2021. "Drivers of Youth Labour Market Integration Across European Regions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(3), pages 835-856, April.
    6. Alen Mujčinović & Aleksandra Nikolić & Emelj Tuna & Ivana Janeska Stamenkovska & Vesela Radović & Paul Flynn & Veronica McCauley, 2021. "Is It Possible to Tackle Youth Needs with Agricultural and Rural Development Policies?," Sustainability, MDPI, vol. 13(15), pages 1-15, July.
    7. Oxana Bezler & Teodor Sedlarski, 2022. "Quantitative Analysis of the Interaction of the Labor Market and the Higher Education Market (on the Example of Kazakhstan)," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 137-156.

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