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Copula‐based analysis of multivariate dependence patterns between dimensions of poverty in Europe

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  • César García‐Gómez
  • Ana Pérez
  • Mercedes Prieto‐Alaiz

Abstract

It is widely recognized that poverty is a multidimensional phenomenon involving not only income, but also other aspects such as education or health. In this multidimensional setting, analyzing the dependence between dimensions becomes an important issue, since a high degree of dependence could exacerbate poverty. In this paper, we propose measuring the multivariate dependence between the dimensions of poverty in Europe using copula‐based methods. This approach focuses on the positions of individuals across dimensions, allowing for other types of dependence beyond linear correlation. In particular, we analyze how orthant dependence between the dimensions of the AROPE rate has evolved in the EU‐28 countries between 2008 and 2014 by applying non‐parametric estimates of multivariate copula‐based generalisations of Spearman’s rank correlation coefficient. We find a general increase in the dependence between dimensions, regardless of the coefficient used. Moreover, countries with higher AROPE rates also tend to experiment more dependence between its dimensions.

Suggested Citation

  • César García‐Gómez & Ana Pérez & Mercedes Prieto‐Alaiz, 2021. "Copula‐based analysis of multivariate dependence patterns between dimensions of poverty in Europe," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(1), pages 165-195, March.
    • Handle: RePEc:bla:revinw:v:67:y:2021:i:1:p:165-195
    DOI: 10.1111/roiw.12461
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    Cited by:

    1. Dorn, Franziska & Radice, Rosalba & Marra, Giampiero & Kneib, Thomas, 2021. "A bivariate relative poverty line for time and income poverty: Detecting intersectional differences using distributional copulas," University of Göttingen Working Papers in Economics 435, University of Goettingen, Department of Economics.
    2. Merz, Joachim & Scherg, Bettina, 2021. "Time, Income and Subjective Well-Being - 20 Years of Interdependent Multidimensional Polarization in Germany," IZA Discussion Papers 14870, Institute of Labor Economics (IZA).
    3. Koen Decancq, 2023. "Cumulative deprivation: identification and aggregation," Chapters, in: Udaya R. Wagle (ed.), Research Handbook on Poverty and Inequality, chapter 4, pages 52-67, Edward Elgar Publishing.
    4. 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.
    5. Marco Brandolini & Federica Coroneo & Elena Giarda & Cristiana Moriconi & Sarah Grace See, 2022. "Differences in Perceptions of the Housing Cost Burden Among European Countries," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 12(4), pages 1-5.
    6. Blier-Wong, Christopher & Cossette, Hélène & Marceau, Etienne, 2022. "Stochastic representation of FGM copulas using multivariate Bernoulli random variables," Computational Statistics & Data Analysis, Elsevier, vol. 173(C).

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