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Convergence and determinants of young people not in employment, education or training: An European regional analysis

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  • Maynou, Laia
  • Ordóñez, Javier
  • Silva, José Ignacio

Abstract

In this paper, we study the convergence in the rates of young people Not in Employment, Education or Training (NEET) across the 274 European regions from 2000 to 2019. First, we apply the club convergence methodology and identify the presence of four important clusters with different trends in NEET rates. The estimated clusters consist of sub-national regions in quite distinct parts of Europe. Then, a spatio-temporal econometric model is used to confirm the presence of a reduction in the disparities (β–convergence) of these rates across the European regions. We identify the main drivers in each cluster and calculate the long-run NEET rates. The unemployment rate and the percentage of early leavers from education and training are the main drivers of NEET rates in all clusters.

Suggested Citation

  • Maynou, Laia & Ordóñez, Javier & Silva, José Ignacio, 2022. "Convergence and determinants of young people not in employment, education or training: An European regional analysis," Economic Modelling, Elsevier, vol. 110(C).
    • Handle: RePEc:eee:ecmode:v:110:y:2022:i:c:s0264999322000542
    DOI: 10.1016/j.econmod.2022.105808
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    Cited by:

    1. Claudia Petrescu & Bogdan Voicu & Christin Heinz-Fischer & Jale Tosun, 2024. "Conceiving of and politically responding to NEETs in Europe: a scoping review," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    2. Berigel, Muhammet & Boztaş, Gizem Dilan & Rocca, Antonella & Neagu, Gabriela, 2023. "A model for predicting determinants factors for NEETs rates: Support for the decision-makers," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    3. Mário Papík & Paulína Miha¾ová & Lenka Papíková, 2022. "Determinants of youth unemployment rate: case of Slovakia," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 17(2), pages 391-414, June.
    4. Klarl, Torben, 2022. "Fragile robots, economic growth and convergence," Economic Modelling, Elsevier, vol. 112(C).
    5. Vicente German‐Soto & Konstantin Gluschenko, 2023. "Long‐term regional convergence in Mexico: A new look," Review of Development Economics, Wiley Blackwell, vol. 27(2), pages 963-991, May.

    More about this item

    Keywords

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    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General

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