Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/198041
Authors: 
Jianu, Ionut
Dobre, Ion
Bodislav, Dumitru Alexandru
Radulescu, Carmen Valentina
Burlacu, Sorin
Year of Publication: 
2019
Citation: 
[Journal:] Economic Computation and Economic Cybernetics Studies and Research [Volume:] 53 [Issue:] 2 [Pages:] 59-76 [ISSN:] 1842–3264
Abstract: 
This paper aims to review the different impacts of income inequality drivers on the Gini coefficient, depending on institutional specificities. In this context, we divided the European Union member states in two clusters (the cluster of member states with inclusive institutions / extractive institutions) using the institutional pillar as a clustering criterion. In both cases, we assesed the impact of income inequality drivers on Gini coefficient by using a fixed effects model in order to examine the role and importance of the institutions in the dynamics of income disparities.The models were estimated by applying the Panel Estimated Generalized Least Squares (EGLS) method, this being weighted by Cross-section weights option. The separate assessment of the income inequality reactivity to the change in its determinants according to the institutional criterion represents a new approach in this field of research and the results show that the impact of moderating income inequality strategies is limitedin the case of member states with extractive institutions.
Subjects: 
income inequality
poverty
institutions
cluster
neets
JEL: 
D63
E02
I32
Persistent Identifier of the first edition: 
Document Type: 
Article
Document Version: 
Published Version






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