Hierarchical Clustering of CEE Countries According to Educational and Labour Market Indicators

This paper classifies Central and Eastern European (CEE) countries according to time-series data on wage ratios, tertiary education, and NEET rates from 2008 to 2021. Principal component analysis (PCA) and hierarchical cluster analysis (HCA) were used, first the combination of PCA and HCA for all three variables together, and then HCA for each variable separately. Multivariate analysis revealed a diverse labour market picture in CEE countries during two crisis periods

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Year of publication:	[2023]
Authors:	Korotaj, Tomislav ; Chen, James Ming ; Kurnoga, Nataša
Publisher:	[S.l.] : SSRN
Subject:	Osteuropa \| Eastern Europe \| Arbeitsmarkt \| Labour market \| Wirtschaftsindikator \| Economic indicator

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Extent:	1 Online-Ressource (7 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	In: SOR'23 Proceedings Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments June 13, 2023 erstellt
Classification:	E24 - Employment; Unemployment; Wages ; I21 - Analysis of Education ; J4 - Particular Labor Markets
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014353084