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Poverty and inequality in European regions

Author

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  • Nicholas T. Longford
  • Maria Grazia Pittau
  • Roberto Zelli
  • Riccardo Massari

Abstract

The European Union Statistics on Income and Living Conditions (EU-SILC) is the main source of information about poverty and economic inequality in the member states of the European Union. The sample sizes of its annual national surveys are sufficient for reliable estimation at the national level but not for inferences at the sub-national level, failing to respond to a rising demand from policy-makers and local authorities. We provide a comprehensive map of median income, inequality (Gini coefficient and Lorenz curve) and poverty (poverty rates) based on the equivalised household income in the countries in which the EU-SILC is conducted. We study the distribution of income of households (pro-rated to its members), not merely its median (or mean), because we regard its dispersion and frequency of lower extremes (relative poverty) as important characteristics. The estimation for the regions with small sample sizes is improved by the small-area methods. The uncertainty of complex nonlinear statistics is assessed by bootstrap. Household-level sampling weights are taken into account in both the estimates and the associated bootstrap standard errors.

Suggested Citation

  • Nicholas T. Longford & Maria Grazia Pittau & Roberto Zelli & Riccardo Massari, 2012. "Poverty and inequality in European regions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(7), pages 1557-1576, January.
    • Handle: RePEc:taf:japsta:v:39:y:2012:i:7:p:1557-1576
    DOI: 10.1080/02664763.2012.661705
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    References listed on IDEAS

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    1. LONGFORD Nicholas Tibor & NICODEMO Catia, 2009. "A sensitivity analysis of poverty definitions," IRISS Working Paper Series 2009-15, IRISS at CEPS/INSTEAD.
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    Cited by:

    1. 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.
    2. repec:zbw:rwirep:0390 is not listed on IDEAS
    3. Tsvetana Spasova, 2019. "Regional Income Distribution in the European Union: A Parametric Approach," Research on Economic Inequality, in: What Drives Inequality?, volume 27, pages 1-18, Emerald Group Publishing Limited.
    4. Berger, Melissa & Schaffner, Sandra, 2016. "A note on how to realize the full potential of the EU-SILC data," Journal of Economic and Social Measurement, IOS Press, issue 4, pages 395-416.
    5. Engel, Melissa & Schaffner, Sandra, 2012. "How to Use the EU-SILC Panel to Analyse Monthly and Hourly Wages," Ruhr Economic Papers 390, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    6. David Castells-Quintana & Raul Ramos & Vicente Royuela, 2015. "Income inequality in European Regions: Recent trends and determinants," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 35(2), pages 123-146, October.
    7. Cartone, Alfredo & Di Battista, Luca & Postiglione, Paolo, 2024. "A new approach for measuring poverty or social exclusion reduction in European NUTS 2 regions," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    8. J.F. Mu�oz & E. �lvarez & M. Rueda, 2014. "Optimum design-based ratio estimators of the distribution function," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(7), pages 1395-1407, July.
    9. Antonella D’Agostino & Andrea Regoli & Giancarlo Cornelio & Fabio Berti, 2016. "Studying Income Inequality of Immigrant Communities in Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(1), pages 83-100, May.
    10. Hongjian Yu & Yueyan Wang & Jean Opsomer & Pan Wang & Ninez A. Ponce, 2018. "A design‐based approach to small area estimation using a semiparametric generalized linear mixed model," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(4), pages 1151-1167, October.
    11. Melissa Engel & Sandra Schaffner, 2012. "How to Use the EU-SILC Panel to Analyse Monthly and Hourly Wages," Ruhr Economic Papers 0390, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.

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