OPPORTUNITIES FOR ASSESSING THE DYNAMICS AND THE COHESION PROCESS IN THE CONTEXT OF THE EUROPEAN PILLAR OF SOCIAL RIGHTS

Authors

DOI:

https://doi.org/10.35774/jee2020.04.694

Keywords:

European Pillar of Social Rights, scoreboard for monitoring «societal progress», coefficient of autodetermination, cluster analysis, social convergence.

Abstract

The article clarifies the essence of the indicators that characterise the principles on which the European Pillar of Social Rights is built, and the information provision of their statistical survey is presented. Official statistics published by Eurostat are used. The objective internal regularities of the time series for Bulgaria for the period 2005-2018 are established by using the autodetermination coefficient, while the viability of constructing univariate models for forecasting purposes is assessed. A cluster analysis has been applied for 2010 and 2018, as a result of which homogenous groups of EU countries have been established and the factors most significant for their formation have been identified. The survey is a preliminary assessment of both the dynamics of the indicators for Bulgaria and the social cohesion in the EU. The derived results can serve as information and analytical bases both for identifying appropriate methods for convergence analysis and for revealing the possibilities of cluster analysis for its evaluation.

JEL: C22, C38, I24, I38.

Author Biographies

Margarita SHOPOVA, Tsenov Academy of Economics, Svishtov

PhD (Economics), Associate Professor, D. A.

Tihomir VARBANOV, Tsenov Academy of Economics, Svishtov

PhD (Economics), Head Assistant Professor, D. A.

Evgeni OVCHINNIKOV, Tsenov Academy of Economics, Svishtov

PhD (Economics), Assistant Professor, D. A.

References

European Commission. (2017a). Establishing a European Pillar of Social Rights. https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52017DC0250&from=EN

European Commission. (2017b). Commission staff working document: Social scoreboard. https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX: 52017SC0200&from=EN

Shopova, M. (2018). Comparative analysis of poverty between Bulgaria, Romania and Greece [in Bulgarian]. Academic Publishing House «Cenov».

Varbanov, T. (2014). Statistical analysis of unemployment - national and regional dimensions [in Bulgarian]. Choveshki resursi, 2, 5-7.

Ivanov, L. (2010). On the cognitive nature of autocorrelation in time series. Statistika, 3-4, 6-28.

Everitt, B., Landau, S., Leese, M., & Stahl, D. (2011). Cluster analysis (5th ed.). https://doi.org/10.1002/9780470977811

John Wiley & Sons, Inc Rencher, A. C. (2002). Methods of Multivariate Analysis (2nd ed.). Wiley.

Theodoridis, S., & Koutroubas, K. (2008). Pattern Recognition. Academic Press.

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Package for determining the relevant number of clusters in a data set. Jounal of Statistical Software, 61. http://dx.doi.org/10.18637/jss.v061.i06

Published

27.01.2021

How to Cite

SHOPOVA, Margarita, et al. “OPPORTUNITIES FOR ASSESSING THE DYNAMICS AND THE COHESION PROCESS IN THE CONTEXT OF THE EUROPEAN PILLAR OF SOCIAL RIGHTS”. Journal of European Economy, vol. 19, no. 4, Jan. 2021, pp. 677-93, doi:10.35774/jee2020.04.694.