Contents of the volume

2016, Volume 69 - Issue 1

ISSN: 2499-8265
RSS feed citation: at CitEc
Publication date: 23 February 2016

EFFECT OF RECENT U.S. MONETARY POLICY ON THE BALANCE OF TRADE.

Deergha Raj Adhikari

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CAN DEBT CEILING AND GOVERNMENT SHUTDOWN PREDICT US REAL STOCK RETURNS? A BOOSTRAP ROLLING WINDOW APPROACH

Goodness C. Aye, Mehmet Balcilar, Ghassen El Montasser, Rangan Gupta, Nangamso C. Manjezi

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CHARACTERISING THE SOUTH AFRICA BUSINESS CYCLE: IS GDP DIFFERENCE-STATIONARY OR TREND-STATIONARY IN A MARKOV-SWITCHING SETUP?

Mehmet Balcilar, Rangan Gupta, Charl Jooste, Omid Ranjbar

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IS THERE A TWO-SPEED EUROPE ALSO IN THE WELL-BEING?

Enrico Ivaldi, Guido Bonatti, Riccardo Soliani

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Genoa Chamber of Commerce
Economia Internazionale / International Economics

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Corresponding author

Enrico IVALDI, Department of Economics, University of Genova, Italy

Co-authors

Guido BONATTI, Department of Economics, University of Genova, Italy

Riccardo SOLIANI, Department of Political Science, University of Genova, Italy

Is there a Two-Speed Europe also in the Well-Being?

Pages

45-68

Abstract

Eurostat databases provide forty indicators relevant to measure the well-being in different countries. In this paper we propose to identify different levels of wellbeing in two European areas, by the analysis of a sample of Centre-North Europe (Sweden, Germany, France, Britain and the Netherlands, which are among the most advanced states), and a sample of Mediterranean countries (Italy, Spain, Portugal and Greece). The goal of the research is to grasp and quantify the specificities of these countries in a phase when inequalities grow. We have represented welfare through 11 dimensions based on 77 variables and analyzed the differences in each of them between the countries in the two areas by Pena's Distance and MPI, two different methodologies – parametric and non-parametric – that allow the combination of variables in a way consistent with our objective. 

JEL classification

I32, C14, O15

Keywords

European Union, Multidimensional Well-being, Composite Index, MPI, Pena’s Distance

Index

  1. Introduction
  2. Methodology
  3. Results and discussion
  4. Conclusions

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