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A New Measure Of Dissimilarity Between Distributions: Application To The Analysis Of Income Distributions Convergence In The European Union

In: Distribution Models Theory

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  • F. J. CALLEALTA-BARROSO

    (Departamento de Estadística, Estructura Económica y O.E.I., University of Alcalá, Plaza de la Victoria no. 2, 28802 Alcalá de Henares (Madrid), Spain)

Abstract

This study introduces a new measure of dissimilarity between distributions, related to Gini's mean difference, and applies it to analyse the convergence between personal income distributions within the 15 EU member states, during the period 1993–2000. According to this measure of dissimilarity, relationships of proximity between these distributions during that period of time constitute the basis of the analysis. Multidimensional scaling techniques are used to construct the temporal trajectories of such distributions in a factor space, optimally reduced for the analysis of their differences. Data are taken from the European Community Household Panel.

Suggested Citation

  • F. J. Callealta-Barroso, 2006. "A New Measure Of Dissimilarity Between Distributions: Application To The Analysis Of Income Distributions Convergence In The European Union," World Scientific Book Chapters, in: Rafael Herrerías Pleguezuelo & José Callejón Céspedes & José Manuel Herrerías Velasco (ed.), Distribution Models Theory, chapter 8, pages 125-159, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789812772992_0008
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    Keywords

    Inference; Uncertainty; Copulas; Stochastic Dominance; Bayesian Techniques; Hierarchical Bayesian Model; Poisson-Gamma-Gamma Model; Experience Rating; Specific Fecundity Rates; Fecundity Curves; Topp and Leone Distributions; Waring Distribution; Factorial; Cluster; Discrimination Analyses; Survival Functions;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory

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