2015
DOI: 10.1007/s11135-015-0277-y
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Childhood and capability deprivation in Italy: a multidimensional and fuzzy set approach

Abstract: In the last decades, starting with the United Nations Convention on the Rights of the Children in 1989, children’s quality of life have received a growing attention in scientific research, as well as in politics. This work aims to gain insights into Italian children’s living conditions and deprivation of capabilities using the Capability Approach, an alternative normative framework for the evaluation of human development, well-being and freedom by thinking in terms of human functionings and capabilities. From … Show more

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Cited by 18 publications
(22 citation statements)
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References 30 publications
(31 reference statements)
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“…Dang (2014) also stressed that the fuzzy set theory is a technique used to operationalize the CA and that it is particularly suitable in the CA framework. Accordingly, Potsi et al (2016) adapted the IFR approach in the framework of CA for studying children's capabilities deprivation in Italy, and Potsi et al 2017applied the proposed methodology in a comparative perspective across countries. From a methodological point of view, the IFR approach in the framework of CA is strictly related to the statistical methodology known as latent variable models (Bartholomew and Knott, 1999).…”
Section: Methodology: the Integrated Fuzzy Relative Approachmentioning
confidence: 99%
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“…Dang (2014) also stressed that the fuzzy set theory is a technique used to operationalize the CA and that it is particularly suitable in the CA framework. Accordingly, Potsi et al (2016) adapted the IFR approach in the framework of CA for studying children's capabilities deprivation in Italy, and Potsi et al 2017applied the proposed methodology in a comparative perspective across countries. From a methodological point of view, the IFR approach in the framework of CA is strictly related to the statistical methodology known as latent variable models (Bartholomew and Knott, 1999).…”
Section: Methodology: the Integrated Fuzzy Relative Approachmentioning
confidence: 99%
“…It is worth noting that due to methodological constraints, both 2 "$ and 2 "#$ at the country level are equal to the At Risk of Poverty Rate (ARPR), even if the meaning of these indicators is completely different. The two fuzzy indicators measure the degree of deprivation, whereas the ARPR is the traditional poverty measure, that is, the share of people with disposable income less than the poverty threshold, which is set at the 60% of the national median equivalised disposable income (again, see Potsi et al 2016 for further details).…”
Section: Methodology: the Integrated Fuzzy Relative Approachmentioning
confidence: 99%
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