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Statistical assessment of regional wealth inequalities: the Italian case

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  • Roy Cerqueti
  • Marcel Ausloos

Abstract

This paper discusses region wealth size distributions, through their member cities aggregated tax income. As an illustration, the official data of the Italian Ministry of Economics and Finance has been considered, for all Italian municipalities, over the period 2007–2011. Yearly data of the aggregated tax income is transformed into a few indicators: the Gini, Theil, and Herfindahl–Hirschman indices. On one hand, the relative interest of each index is discussed. On the other hand, numerical results confirm that Italy is divided into very different regional realities, a few which are specifically outlined. This shows the interest of transforming data in an adequate manner and of comparing such indices. Copyright Springer Science+Business Media Dordrecht 2015

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  • Roy Cerqueti & Marcel Ausloos, 2015. "Statistical assessment of regional wealth inequalities: the Italian case," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(6), pages 2307-2323, November.
    • Handle: RePEc:spr:qualqt:v:49:y:2015:i:6:p:2307-2323
    DOI: 10.1007/s11135-014-0111-y
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    Cited by:

    1. Chiara Mussida & Maria Laura Parisi, 2016. "The effect of economic crisis on regional income inequality in Italy," DISCE - Quaderni del Dipartimento di Scienze Economiche e Sociali dises1614, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    2. Marcel Ausloos & Roy Cerqueti, 2016. "Studies on Regional Wealth Inequalities: the case of Italy," Papers 1602.05356, arXiv.org.
    3. Chiara Mussida & Maria Laura Parisi, 2018. "Immigrant groups’ income inequality within and across Italian regions," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(4), pages 655-671, December.
    4. Paolo Caro, 2020. "Decomposing Personal Income Tax Redistribution with Application to Italy," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(1), pages 113-129, March.
    5. D’Amico, Guglielmo & Scocchera, Stefania & Storchi, Loriano, 2018. "Financial risk distribution in European Union," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 252-267.
    6. Marcel Ausloos & Roy Cerqueti & Tariq A. Mir, 2018. "Data on the annual aggregated income taxes of the Italian municipalities over the quinquennium 2007-2011," Papers 1806.10935, arXiv.org.
    7. Bogdan Oancea & Dan Pirjol, 2019. "Extremal properties of the Theil and Gini measures of inequality," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 859-869, March.
    8. Guglielmo D’Amico & Philippe Regnault & Stefania Scocchera & Loriano Storchi, 2018. "A Continuous-Time Inequality Measure Applied to Financial Risk: The Case of the European Union," IJFS, MDPI, vol. 6(3), pages 1-16, June.
    9. Stefano Boscolo, 2022. "The contribution of tax-benefit instruments to income redistribution in Italy," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2022(2), pages 181-231.

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