Izvorni znanstveni članak
https://doi.org/10.17535/crorr.2023.0005
Multivariate analysis of post-transition OECD countries in the context of inequality measures
Tomislav Korotaj
orcid.org/0000-0002-7040-6167
; Faculty of Economics and Business, University of Zagreb, Trg J. F. Kennedyja 6, 10000 Zagreb, Croatia
Nataša Kurnoga
orcid.org/0000-0002-0055-7752
; Faculty of Economics and Business, University of Zagreb, Trg J. F. Kennedyja 6, 10000 Zagreb, Croatia
Nika Šimurina
; Faculty of Economics and Business, University of Zagreb, Trg J. F. Kennedyja 6, 10000 Zagreb, Croatia
Sažetak
The aim of this paper is to classify the post-transition OECD countries according to the Gini coefficient for income inequality, the S80/S20 ratio, the income share of the bottom 40% of the population, educational attainment – tertiary education, and labor force participation rate using factor and cluster analyses. Factor analysis resulted in two extracted factors, and factor scores were calculated. Hierarchical and non-hierarchical cluster analysis was performed on factor scores to classify eight posttransition OECD countries and three candidate countries. The research question of this paper is to investigate whether there are similarities/differences between existing members and candidates for membership in the OECD, among the selected post-transition countries of Europe, in the context of income inequality. Based on the dendrogram obtained by the hierarchical Ward’s method, a three cluster solution was selected. The non-hierarchical k-means method for the three-cluster solution clustered Croatia with Bulgaria and Romania. These three countries are OECD candidate countries. Our findings confirm that the three candidate countries remain behind because of historical reasons and the non-implementation of structural reforms.
Ključne riječi
cluster analysis; factor analysis; inequality measures; OECD countries
Hrčak ID:
305782
URI
Datum izdavanja:
10.7.2023.
Posjeta: 251 *