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Classification of the EU countries labour markets

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F10%3A48555" target="_blank" >RIV/60460709:41110/10:48555 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Classification of the EU countries labour markets

  • Original language description

    The objective of the paper is to classify the labour markets of the EU member states on the basis of selected employment and unemployment indicators. In order to achieve the study target, the adequate multivariate exploration procedures have been chosen.In the first part of processing original data, principal component analysis (PCA) was employed. PCA is a multivariate statistical procedure used to reduce the number of observed variables into a smaller number of uncorrelated variables with a minimum loss of information. Moreover, the PCA results can be used for effective ranking of the EU countries according to observed indicators of labour markets. This paper describes the crucial steps in PCA and procedure for ranking mentioned and it reviews how PCA-based statistics are constructed and interpreted. The results of the study have demonstrated the range of application and advantages of the multivariate statistical approaches represented in this paper.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    GA - Agricultural economics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2010

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    AGRIS on-line Papers in Economics and Informatics

  • ISSN

    1804-1930

  • e-ISSN

  • Volume of the periodical

    II

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    7

  • Pages from-to

  • UT code for WoS article

  • EID of the result in the Scopus database