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

Autor/inn/en	Bacher, Johann; Koblbauer, Christina; Leitgöb, Heinz; Tamesberger, Dennis
Titel	Small differences matter: How regional distinctions in educational and labour market policy account for heterogeneity in NEET rates. Gefälligkeitsübersetzung: Kleine Abweichungen spielen eine Rolle: Wie regionale Unterschiede bei der Bildungs- und Arbeitsmarktpolitik heterogene NEET-Quoten verursachen.
Quelle	In: Journal for labour market research, 51 (2017) Art. 4, 20 S.Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; Zeitschriftenaufsatz
ISSN	1614-3485; 1867-8343; 2510-5019; 2510-5027
DOI	10.1186/s12651-017-0232-6
Schlagwörter	Bildungschance; Bildungspolitik; Sekundarstufe II; Regionale Disparität; Bundesland; Föderalismus; Ökonomische Determinanten; Arbeitslosigkeit; Arbeitsmarktpolitik; Arbeitsplatzangebot; Betriebliche Berufsausbildung; Ausbildungsquote; Regionaler Faktor; Regionaler Vergleich; Institution; Jugendlicher; Junger Erwachsener; Österreich
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." (Author's abstract, © Springer-Verlag).
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2018/2