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.

Abstract:The aim of this paper is to extend a portfolio selection method based on MADM techniques for the case of interval data. In order to highlight the procedure of the proposed algorithm an example of product portfolio selection for a leasing company has been analyzed. Several numerical simulations have been performed in order to illustrate our interval data method.

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This article estimates the size of the Romanian shadow economy (SE) using the currency demand approach, in order to evaluate if there is any relationship between the SE and unemployment rate (UR). Using Granger causality tests and error correction models, we examine the impact of both registered and International Labour Office unemployment rates (ILO_UR) on the Romanian SE covering the period between 2000Q1 and 2010Q2. We find that the Romanian SE as a percentage of official gross domestic product (GDP) is decreasing over the analyzed period, from 36.5 percent at the end of 2000 to 31.5 of real GDP at the middle of 2010. Our empirical results also support a unidirectional Granger causality that runs from the URs to the SE. The generalized impulse response functions indicate the existence of a short-run negative relationship between URs and the Romanian SE. The empirical results also indicate that there is a positive long-run relationship between both URs and SE, with a 1 percent increase in URs leading to an increase in the SE of 0.36 percent due to the registered unemployment rate and an increase of 2.27 percent due to the ILO_UR.

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