 Copula‐based analysis of multivariate dependence patterns between dimensions of poverty in EuropeCésar García‐Gómez, Ana Pérez and Mercedes Prieto‐Alaiz Review of Income and Wealth, 2021, vol. 67, issue 1, 165-195 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. Date: 2021 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:bla:revinw:v:67:y:2021:i:1:p:165-195 Ordering information: This journal article can be ordered from Access Statistics for this article Review of Income and Wealth is currently edited by Conchita D'Ambrosio and Robert J. Hill More articles in Review of Income and Wealth from International Association for Research in Income and Wealth Contact information at EDIRC. |
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