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The geography of income inequality in Italy

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  • Paolo Acciari
  • Sauro Mocetti

Abstract

This paper exploits the tax records for an analysis of the geography of income inequality in Italy. In 2011, the Gini coefficient, the most common measure of inequality, was 40 percent. In the South the index was 3 percentage points higher than in the Centre-North, mainly because of a smaller share of income held by the lower tail of the distribution. Inequality is also higher in major metropolitan areas. The Gini index has been increasing during the Great Recession. This pattern has been driven by a reduction of incomes, larger for individuals below the median. Regional disparities have been increasing as well.

Suggested Citation

  • Paolo Acciari & Sauro Mocetti, 2012. "The geography of income inequality in Italy," Politica economica, Società editrice il Mulino, issue 3, pages 307-343.
  • Handle: RePEc:mul:je8794:doi:10.1429/74177:y:2012:i:3:p:307-343
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    Cited by:

    1. David Loschiavo, 2016. "Household debt and income inequality: evidence from Italian survey data," Temi di discussione (Economic working papers) 1095, Bank of Italy, Economic Research and International Relations Area.
    2. Alexandra D'Onofrio & Pierluigi Murro, 2013. "Local banking development and income distribution across Italian provinces," Working Papers CASMEF 1307, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    3. Francesco Farina & Stefania Ottone & Ferrucio Ponzano, 2015. "What kind of Welfare State do you prefer? An experiment on framing the social insurance scheme," Working Papers 295, University of Milano-Bicocca, Department of Economics, revised Mar 2015.
    4. Tomassi, Federico, 2014. "Changes in the Eternal City: Inequalities, commons, and elections in Rome districts from 2000 to 2013," MPRA Paper 56227, University Library of Munich, Germany.
    5. D’Onofrio, Alexandra & Minetti, Raoul & Murro, Pierluigi, 2019. "Banking development, socioeconomic structure and income inequality," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 428-451.
    6. Amedeo Argentiero & Bruno Chiarini & Elisabetta Marzano, 2018. "Does Tax Evasion Affect Economic Crime?," CESifo Working Paper Series 6957, CESifo Group Munich.
    7. Paolo Di Caro, 2017. "Analisi distributiva dell’IRPEF utilizzando i microdati di fonte fiscale," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2017(1), pages 35-59.
    8. Asdrubali, Pierfederico & Tedeschi, Simone & Ventura, Luigi, 2015. "Household Risksharing Channels," MPRA Paper 65906, University Library of Munich, Germany.
    9. Paolo Di Caro, 2017. "The contribution of tax statistics for analysing regional income disparities in Italy," Journal of Income Distribution, Ad libros publications inc., vol. 25(1), pages 1-27, March.

    More about this item

    Keywords

    inequality; regional disparities.;

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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