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Croatian Review of Economic, Business and Social Statistics, Vol.1 No.1-2 Prosinac 2015.

Izvorni znanstveni članak
https://doi.org/10.1515/crebss-2016-0004

Quality of life indicators in selected European countries: Statistical hierarchical cluster analysis approach

Berislav Žmuk   ORCID icon orcid.org/0000-0003-3487-1376 ; Faculty of Economics and Business, University of Zagreb, Croatia

Puni tekst: engleski, pdf (286 KB) str. 42-54 preuzimanja: 242* citiraj
APA 6th Edition
Žmuk, B. (2015). Quality of life indicators in selected European countries: Statistical hierarchical cluster analysis approach. Croatian Review of Economic, Business and Social Statistics, 1 (1-2), 42-54. https://doi.org/10.1515/crebss-2016-0004
MLA 8th Edition
Žmuk, Berislav. "Quality of life indicators in selected European countries: Statistical hierarchical cluster analysis approach." Croatian Review of Economic, Business and Social Statistics, vol. 1, br. 1-2, 2015, str. 42-54. https://doi.org/10.1515/crebss-2016-0004. Citirano 15.12.2018.
Chicago 17th Edition
Žmuk, Berislav. "Quality of life indicators in selected European countries: Statistical hierarchical cluster analysis approach." Croatian Review of Economic, Business and Social Statistics 1, br. 1-2 (2015): 42-54. https://doi.org/10.1515/crebss-2016-0004
Harvard
Žmuk, B. (2015). 'Quality of life indicators in selected European countries: Statistical hierarchical cluster analysis approach', Croatian Review of Economic, Business and Social Statistics, 1(1-2), str. 42-54. doi: https://doi.org/10.1515/crebss-2016-0004
Vancouver
Žmuk B. Quality of life indicators in selected European countries: Statistical hierarchical cluster analysis approach. Croatian Review of Economic, Business and Social Statistics [Internet]. 2015 [pristupljeno 15.12.2018.];1(1-2):42-54. doi: https://doi.org/10.1515/crebss-2016-0004
IEEE
B. Žmuk, "Quality of life indicators in selected European countries: Statistical hierarchical cluster analysis approach", Croatian Review of Economic, Business and Social Statistics, vol.1, br. 1-2, str. 42-54, 2015. [Online]. doi: https://doi.org/10.1515/crebss-2016-0004

Sažetak
The average expected duration of human life is rising because of different reasons. On the other hand, not only the duration, but the quality of life level is important, too. The higher the quality of life level, the citizens’ happiness and satisfaction levels are higher, which has positive impact on the development and operating of an economy. The goal of this paper is to identify groups of European countries, using statistical hierarchical cluster analysis, by using the quality of life indicators, and to recognise differences in quality of life levels. The quality of life is measured by using seven different indicators. The conducted statistical hierarchical cluster analysis is based on the Ward’s clustering method, and squared Euclidean distances. The results of conducted statistical hierarchical cluster analysis enabled recognizing of three different groups of European countries: old European Union member states, new European Union members, and non-European Union member states. The analysis has revealed that the old European Union member states seem to have in average higher quality of life level than the new European Union member states. Furthermore, the European Union member states have in average higher quality of live level than non-European Union members do. The results indicate that quality of life levels and economic development levels are connected.

Ključne riječi
quality of life indicators; Ward’s method; outlier detection; European countries; analysis of variance (ANOVA)

Hrčak ID: 152606

URI
https://hrcak.srce.hr/152606

Posjeta: 491 *