Classification of the EU countries labour markets

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Classification of the EU countries labour markets

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Classification of the EU countries labour markets

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

GA - Zemědělská ekonomie

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název periodika

AGRIS on-line Papers in Economics and Informatics

ISSN

1804-1930

e-ISSN

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Svazek periodika

II

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

7

Strana od-do

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Kód UT WoS článku

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EID výsledku v databázi Scopus

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