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Ninguna institución puede reducir por sí sola el desempleo juvenil, dado que funcionan sinérgicamente constituyendo regímenes laborales y de bienestar. A partir de una revisión bibliográfica y un análisis de conglomerados, el autor establece cinco diferentes regímenes en la UE-27 y estima sus efectos en la proporción de desempleo juvenil y en la tasa de desempleo juvenil de larga duración. La mejor estrategia para favorecer los resultados laborales de los jóvenes resulta ser un sistema de aprendizaje dual integrado en un régimen laboral de mercado con altos niveles de seguridad social, buenas PAMT y un gasto elevado en educación y guarderías. [ABSTRACT FROM AUTHOR]

Due to the limited relevance of traditional labour market indicators for youth unemployment, researchers and policy-makers focus on an indicator known as not in employment, education or training (‘NEET’). The underlying assumption is that NEET indicates young people with a high risk of social exclusion. For political solutions, it is necessary to consider the heterogeneity of the NEET group. This paper examines the socio-structural attributes that characterise NEET youth in Austria, the main reasons for the NEET situation and whether NEET status, once assigned to an individual, is permanent or temporary. Latent cluster analyses identify seven subgroups of NEET youth, all of which face different challenges. The data source used is the Austrian Labour Force Survey (micro census) from the years 2008–2010, and young people between 16 and 24 years old are analysed. A panel data-set is created to analyse NEET permanence. Drawing on the identified reasons for a permanent NEET situation, this paper argues for more job and training opportunities that fit the needs of young people, especially those with illnesses. Finally, this study asks whether the definition of NEET should be adapted to exclude young mothers with care responsibilities who are not actively looking for a job. [ABSTRACT FROM AUTHOR]

The number young people not in education, employment or training (NEET) has been rising since the beginning of the economic and fi nancial crisis in 2008. This article contributes to the discussion about the reduction of the NEET rate by addressing the questions: Which structural factors can explain differences in the NEET rates among Austrian federal states? What causes an increased or reduced NEET risk at the individual level? What are the key factors for an exit from a NEET situation? [ABSTRACT FROM AUTHOR]