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<dc:title>Quality of life and poverty: measurement and comparability</dc:title>
<dc:creator>Molpeceres Abellá, María Mercedes</dc:creator>
<dc:creator>García Lapresta, José Luis</dc:creator>
<dc:subject>Quality of life</dc:subject>
<dc:description>Producción Científica</dc:description>
<dc:description>In this paper, we analyze the correspondence among the rankings of the Spanish regions&#xd;
according to di_erent measures of monetary poverty and quality of life, in 2012. To do&#xd;
that, the Spearman's rank correlation coe_cient is used. Di_erent aggregation methods&#xd;
are applied to calculate the selected measures of poverty and quality of life. The monetary&#xd;
poverty measures aggregate the income gaps, while the quality of life measures aggregate&#xd;
a set of social indicators dealing with ten di_erent domains. In both cases, among other&#xd;
traditional aggregation procedures, the exponential mean is used because its properties&#xd;
are especially adequate in these contexts.</dc:description>
<dc:date>2016-12-13T10:20:06Z</dc:date>
<dc:date>2016-12-13T10:20:06Z</dc:date>
<dc:date>2016</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:identifier>International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2016, 24 (suppl. 1), p. 63-85</dc:identifier>
<dc:identifier>0218-4885</dc:identifier>
<dc:identifier>http://uvadoc.uva.es/handle/10324/21577</dc:identifier>
<dc:identifier>10.1142/S0218488516400043</dc:identifier>
<dc:identifier>International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, forthcoming</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
<dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 International</dc:rights>
<dc:publisher>World Scientific Publishing</dc:publisher>
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