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COUNTRY CLASSIFICATION BASED ON LABOUR MARKETRELATED CHARACTERISTICS

Emilia Ţiţan, Constantin Mitruţ, Adrian Otoiu, Remus Dumitrescu and Daniela Manea
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Emilia Ţiţan: – Bucharest Academy of Economic Studies, Department of Statistics and Econometrics
Constantin Mitruţ: – Bucharest Academy of Economic Studies, Department of Statistics and Econometrics
Remus Dumitrescu: – University of Bucharest, Department of Physical Education
Daniela Manea: – Bucharest Academy of Economic Studies, Department of Statistics and Econometrics

Journal of Social and Economic Statistics, 2013, vol. 2, issue 1, 51-69

Abstract: This paper attempts to do a classification of countries based on the labourrelated values prevalent in their societies. Using data from the World Values Survey, wave 4, an attempt is made to create country clusters based on four classes of values relevant to labour market behaviour: 1) values important to the society as a whole, 2) societal perceptions, attitudes and behaviours 3) attitudes toward work, and 4) economic and political environment. After using principal component analysis to reduce dimensionality of the data on the last three dimensions, cluster analysis was done on a mix of variables and factors. Our findings are partially consistent to the existing classifications of countries. Some results appear to challenge some of the existing classifications, as we found some less expected associations that appear to be correct, given the fact that they occur for several classes of values.

Keywords: cultural clusters; labour market characteristics; societal values; cluster analysis; principal components analysis (search for similar items in EconPapers)
JEL-codes: A13 J01 Z10 (search for similar items in EconPapers)
Date: 2013
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