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Components of Gini, Bonferroni, and Zenga Inequality Indexes for EU Income Data

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  • Pasquazzi Leo

    (University of Milano-Bicocca, Dept. of Statistics and Quantitative Methods, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy)

  • Zenga Michele

    (University of Milano-Bicocca, Dept. of Statistics and Quantitative Methods, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy)

Abstract

In this work we apply a new approach to assess contributions from factor components to income inequality. The new approach is based on the insight that most (synthetic) inequality indexes may be viewed as (weighted) averages of point inequality measures, which measure inequality between population subgroups identified by income. Assessing contributions of factor components to point inequality measures is usually an easy task, and based on these contributions it is straightforward to define contributions to the corresponding (synthetic) overall inequality indexes as well. As we shall show through an analysis of income data from Eurostat’s European Community Household Panel Survey (ECHP), the approach based on point inequality measures gives rise to readily interpretable results, which, we believe, is an advantage over other methods that have been proposed in literature.

Suggested Citation

  • Pasquazzi Leo & Zenga Michele, 2018. "Components of Gini, Bonferroni, and Zenga Inequality Indexes for EU Income Data," Journal of Official Statistics, Sciendo, vol. 34(1), pages 149-180, March.
    • Handle: RePEc:vrs:offsta:v:34:y:2018:i:1:p:149-180:n:8
    DOI: 10.1515/jos-2018-0008
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    References listed on IDEAS

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    Cited by:

    1. Francesca Greselin & Simone Pellegrino & Achille Vernizzi, 2020. "The Social Welfare Implications of the Zenga Index," Papers 2006.12623, arXiv.org.

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