Comparative measures of multidimensional deprivation in the European Union

Betti, Gianni; Gagliardi, Francesca; Lemmi, Achille; Verma, Vijay

doi:10.1007/s00181-014-0904-9

Cited by 57 publications

(61 citation statements)

References 22 publications

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“…The computation of the deprivation indicators of the IFR approach involves a long process as reported also in Berti et al (2014) and Betti et al (2015). In details, the IFR method follows seven main steps: (1) identification of the relevant survey items; (2) transformation of the items into the [0,1] interval, (3) exploratory and/or confirmatory factor analysis to define the latent dimensions; (4) computation of the weights 8 within each dimension; (5) calculation of the scores for each dimension; (6) calculation of an overall score and the a parameter as for the FM measure; (7) calculation of the deprivation indices.…”

Section: Methodsmentioning

confidence: 99%

Childhood and capability deprivation in Italy: a multidimensional and fuzzy set approach

et al. 2015

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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 a methodological point of view we present an approach based on a fuzzy methodology applied to data from the EU-SILC 2009 ad-hoc module on children. The use of this methodology makes it possible to preserve the richness of the data available from the EU-SILC survey, that include both monetary and non monetary aspects of children deprivation. To get more insides into Italian children living conditions we also combine the fuzzy methodology with the capability approach at a disaggregated level of analysis by three social economic factors (single parent household, household educational level, macro-region of residence). Besides the well-known Italian North/South disparity of financial indicators—confirmed also for households with children—our findings suggest a new duality for Italian children quality of life, given by the multidimensional domains of deprivation internal or external to children’s households

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Section: Methodsmentioning

confidence: 99%

Childhood and capability deprivation in Italy: a multidimensional and fuzzy set approach

et al. 2015

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“…In the aforementioned framework of Europe 2020 strategy of the European Commission, purely monetary measures of poverty have been presented together with new multidimensional measures of poverty. Also in the literature, measures of multidimensional poverty have been developed: application can be found in Whelan & Maitre (), Betti et al (), Goedemé (). However, no attention has been paid to standard error computation of multidimensional measures.…”

Section: Introductionmentioning

confidence: 99%

Simplified Jackknife Variance Estimates for Fuzzy Measures of Multidimensional Poverty

Betti

Gagliardi

Verma

2017

Int Statistical Rev

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Summary In this paper, we present a practical methodology for variance estimation for multi‐dimensional measures of poverty and deprivation of households and individuals, derived from sample surveys with complex designs and fairly large sample sizes. The measures considered are based on fuzzy representation of individuals' propensity to deprivation in monetary and diverse non‐monetary dimensions. We believe this to be the first original contribution for estimating standard errors for such fuzzy poverty measures. The second objective is to describe and numerically illustrate computational procedures and difficulties in producing reliable and robust estimates of sampling error for such complex statistics. We attempt to identify some of these problems and provide solutions in the context of actual situations. A detailed application based on European Union Statistics on Income and Living Conditions data for 19 NUTS2 regions in Spain is provided.

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“…where X is the equivalised income in the monetary deprivation, or the overall score s in the non-monetary deprivation (see step 6 below, as proposed in Betti et al 2015a); w c is the sample weight of individual of rank c (c ¼ 1; . .…”

Section: Fuzzy Measures In a Cross Sectional Perspectivementioning

confidence: 99%

“…In this section we briefly describe the cross sectional fuzzy measures proposed by Betti et al (2015a) which are based also on the seminal contributions of Cerioli and Zani (1990), Cheli and Lemmi (1995) and Betti and Verma (2008). 2 The more generalised form of the membership functions of monetary and non-monetary deprivation is defined for any individual i as:…”

Section: Fuzzy Measures In a Cross Sectional Perspectivementioning

confidence: 99%

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Fuzzy Measures of Longitudinal Poverty in a Comparative Perspective

2015

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In this paper we present a methodology for the study of longitudinal aspects of monetary and multi-dimensional poverty, and apply this in a multi-country comparative context. The conventional poor/non-poor dichotomy is replaced by defining poverty as a matter of degree, determined by the place of the individual in the income distribution. The same methodology facilitates the inclusion of other dimensions of deprivation into the analysis: by appropriately weighting indicators of deprivation to reflect their dispersion and correlation, we can construct measures of non-monetary deprivation in its various dimensions. An important contribution of the paper is to identify rules for the intersection and union of fuzzy sets appropriate for the study of poverty and deprivation. These rules allow us to meaningfully study the persistence of poverty and deprivation over time. We establish the consistency of the approach when applied to a time sequence of any length. We can thus study longitudinally over time a whole range of indicators of poverty and deprivation, from cross-sectional monetary poverty rates to multi-dimensional indicators of deprivation: in particular, we propose the new “Fuzzy At-persistent-risk-of-poverty rate”, and compare it with the corresponding Laeken indicator adopted by Eurostat

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Comparative measures of multidimensional deprivation in the European Union

Cited by 57 publications

References 22 publications

Childhood and capability deprivation in Italy: a multidimensional and fuzzy set approach

Childhood and capability deprivation in Italy: a multidimensional and fuzzy set approach

Simplified Jackknife Variance Estimates for Fuzzy Measures of Multidimensional Poverty

Fuzzy Measures of Longitudinal Poverty in a Comparative Perspective

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