IDEAS home Printed from https://ideas.repec.org/p/inq/inqwps/ecineq2010-182.html
   My bibliography  Save this paper

Measures of poverty and inequality in the countries and regions of EU

Author

Listed:
  • Nicholas T. Longford

    (SNTL and UPF, Barcelona, Spain)

  • Maria Grazia Pittau

    () (Department of Statistics, Sapienza University of Rome)

  • Roberto Zelli

    (Department of Statistics, Sapienza University of Rome)

  • Riccardo Massari

    (Sapienza University of Rome)

Abstract

The European Union Survey on Income and Living Conditions (EU-SILC) is the main source of information about living standards and poverty in the member states of the European Union. It provides reliable statistics at national level but sample sizes do not allow reliable estimates at sub-national level, despite 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), at country and regional levels, based on the equivalized household income in all the countries in which EU-SILC is conducted. We focus on personal income distribution within regions as opposed to per capita income distribution across regions to give a deeper insight into regional disparities. Small-area estimation is applied to improve estimates in regions with small sample size. Uncertainty of such complex non-linear statistics is assessed by bootstrap methods. Household-level sampling weights are taken into account in both the estimates and their relative bootstrapped standard errors.

Suggested Citation

  • Nicholas T. Longford & Maria Grazia Pittau & Roberto Zelli & Riccardo Massari, 2010. "Measures of poverty and inequality in the countries and regions of EU," Working Papers 182, ECINEQ, Society for the Study of Economic Inequality.
  • Handle: RePEc:inq:inqwps:ecineq2010-182
    as

    Download full text from publisher

    File URL: http://www.ecineq.org/milano/WP/ECINEQ2010-182.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Julie Le Gallo, 2004. "Space-Time Analysis of GDP Disparities among European Regions: A Markov Chains Approach," International Regional Science Review, , vol. 27(2), pages 138-163, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Antošová, Veronika & Stávková, Jana & Birčiaková, Naďa, 2013. "How the Income Situation of Households in the CR Responds to the Economic Development of the Society," MPRA Paper 48778, University Library of Munich, Germany.
    2. Dorota Weziak-Bialowolska, 2016. "Spatial Variation in EU Poverty with Respect to Health, Education and Living Standards," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 125(2), pages 451-479, January.
    3. Silvia PALASCA, 2015. "Living Standards In Europe. A Regional View," EURINT, Centre for European Studies, Alexandru Ioan Cuza University, vol. 2, pages 297-307.
    4. Vassilis Tselios, 2014. "The Granger-causality between income and educational inequality: a spatial cross-regressive VAR framework," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(1), pages 221-243, August.

    More about this item

    Keywords

    European regional economics measurement; EU-SILC; Gini coefficient; Poverty rates; Small-area estimation.;

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inq:inqwps:ecineq2010-182. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Maria Ana Lugo). General contact details of provider: http://edirc.repec.org/data/ecineea.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.