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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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    1. Joe, Harry, 1990. "Multivariate concordance," Journal of Multivariate Analysis, Elsevier, vol. 35(1), pages 12-30, October.
    2. Nickell, Stephen, 1979. "Education and Lifetime Patterns of Unemployment," Journal of Political Economy, University of Chicago Press, vol. 87(5), pages 117-131, October.
    3. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    4. Manuela Deidda, 2015. "Economic Hardship, Housing Cost Burden and Tenure Status: Evidence from EU-SILC," Journal of Family and Economic Issues, Springer, vol. 36(4), pages 531-556, December.
    5. Currie, Janet & Madrian, Brigitte C., 1999. "Health, health insurance and the labor market," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 50, pages 3309-3416, Elsevier.
    6. Koen Decancq, 2014. "Copula-based measurement of dependence between dimensions of well-being," Oxford Economic Papers, Oxford University Press, vol. 66(3), pages 681-701.
    7. Francisco H. G. Ferreira & Maria Ana Lugo, 2013. "Multidimensional Poverty Analysis: Looking for a Middle Ground," The World Bank Research Observer, World Bank, vol. 28(2), pages 220-235, August.
    8. Pelkowski, Jodi Messer & Berger, Mark C., 2004. "The impact of health on employment, wages, and hours worked over the life cycle," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(1), pages 102-121, February.
    9. Roger White (ed.), 2017. "Measuring Multidimensional Poverty and Deprivation," Global Perspectives on Wealth and Distribution, Palgrave Macmillan, number 978-3-319-58368-6, March.
    10. Riddell, W. Craig & Song, Xueda, 2011. "The impact of education on unemployment incidence and re-employment success: Evidence from the U.S. labour market," Labour Economics, Elsevier, vol. 18(4), pages 453-463, August.
    11. Jacob Mincer, 1991. "Education and Unemployment," NBER Working Papers 3838, National Bureau of Economic Research, Inc.
    12. Roger Nelsen & Manuel Úbeda-Flores, 2012. "Directional dependence in multivariate distributions," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 64(3), pages 677-685, June.
    13. Schmid, Friedrich & Schmidt, Rafael, 2007. "Multivariate extensions of Spearman's rho and related statistics," Statistics & Probability Letters, Elsevier, vol. 77(4), pages 407-416, February.
    14. García, Jesús E. & González-López, V.A. & Nelsen, R.B., 2013. "A new index to measure positive dependence in trivariate distributions," Journal of Multivariate Analysis, Elsevier, vol. 115(C), pages 481-495.
    15. Rolf Aaberge & Anthony B. Atkinson & Sebastian Königs, 2018. "From classes to copulas: wages, capital, and top incomes," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(2), pages 295-320, June.
    16. Jean-Yves Duclos & Luca Tiberti, 2016. "Multidimensional poverty indices: A critical assessment," Cahiers de recherche 1602, CIRPEE.
    17. Genest, Christian & Nešlehová, Johanna G. & Rémillard, Bruno, 2013. "On the estimation of Spearman’s rho and related tests of independence for possibly discontinuous multivariate data," Journal of Multivariate Analysis, Elsevier, vol. 117(C), pages 214-228.
    18. Decancq, Koen, 2012. "Elementary multivariate rearrangements and stochastic dominance on a Fréchet class," Journal of Economic Theory, Elsevier, vol. 147(4), pages 1450-1459.
    19. Jacob Mincer, 1991. "Education and Unemployment of Women," NBER Working Papers 3837, National Bureau of Economic Research, Inc.
    20. M. Taylor, 2007. "Multivariate measures of concordance," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 59(4), pages 789-806, December.
    21. Suman Seth, 2013. "A class of distribution and association sensitive multidimensional welfare indices," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 11(2), pages 133-162, June.
    22. Nolan, Brian & Whelan, Christopher T., 2011. "Poverty and Deprivation in Europe," OUP Catalogue, Oxford University Press, number 9780199588435.
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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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