2026-05-05T23:30:45Zhttps://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/405532025-01-20T10:57:27Zcom_10324_1146com_10324_931com_10324_894col_10324_1262
UVaDOC
author
García Gómez, César
author
Pérez Espartero, Ana
author
Prieto Alaiz, María Mercedes
2020-03-02T10:20:38Z
2020-03-02T10:20:38Z
2020
Review of Income and Wealth, Series 0, Number 0, 2020 (In Press)
0034-6586
http://uvadoc.uva.es/handle/10324/40553
10.1111/roiw.12461
Review of Income and Wealth
1475-4991
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.
eng
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Copula‐based analysis of multivariate dependence patterns between dimensions of poverty in Europe
info:eu-repo/semantics/article
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https://uvadoc.uva.es/bitstream/10324/40553/4/postprint_ROIW.PDF
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postprint_ROIW.PDF