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The evolution of poverty in the EU-28: a further look based on multivariate tail dependence

Author

Listed:
  • César Garcia-Gomez

    (University of Valladolid)

  • Ana Pérez

    (University of Valladolid)

  • Mercedes Prieto-Alaiz

    (University of Valladolid)

Abstract

This paper proposes a graphical tool based on the copula function, namely the mul-tivariate tail concentration function, to represent the dependence structure on the tailsof a multivariate joint distribution. We illustrate the use of this function to measuredependence between poverty dimensions. In particular, we analyse how multivariate taildependence between the dimensions of the AROPE rate evolved in the EU-28 between2008 and 2018. We nd evidence of lower tail dependence in all EU-28 countries, al-though this dependence is time-varying over the period analysed and the e ect of theGreat Recession on this dependence is not homogeneous over all countries.

Suggested Citation

  • César Garcia-Gomez & Ana Pérez & Mercedes Prieto-Alaiz, 2022. "The evolution of poverty in the EU-28: a further look based on multivariate tail dependence," Working Papers 605, ECINEQ, Society for the Study of Economic Inequality.
    • Handle: RePEc:inq:inqwps:ecineq2022-605
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    File URL: http://www.ecineq.org/milano/WP/ECINEQ2022-605.pdf
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    References listed on IDEAS

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    More about this item

    Keywords

    Multivariate tail dependence; Copula; Poverty; AROPE rate; Europe.;
    All these keywords.

    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe

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