The paper presents a general framework and an operative procedure for the evaluation of multidimensional deprivation with ordinal attributes. Evaluation is addressed in terms of multidimensional comparisons among achievement profiles, rather than through attribute score aggregations. This makes it unnecessary to scale ordinal attributes into numerical variables, overcoming the limitations of aggregative procedures and counting approaches. The evaluation procedure is fuzzy in nature, accounts for both vagueness and intensity of deprivation and produces a comprehensive set of synthetic indicators for policy-makers.

Fattore, M. (2016). Partially Ordered Sets and the Measurement of Multidimensional Ordinal Deprivation. SOCIAL INDICATORS RESEARCH, 128(2), 835-858 [10.1007/s11205-015-1059-6].

Partially Ordered Sets and the Measurement of Multidimensional Ordinal Deprivation

Fattore, M
2016

Abstract

The paper presents a general framework and an operative procedure for the evaluation of multidimensional deprivation with ordinal attributes. Evaluation is addressed in terms of multidimensional comparisons among achievement profiles, rather than through attribute score aggregations. This makes it unnecessary to scale ordinal attributes into numerical variables, overcoming the limitations of aggregative procedures and counting approaches. The evaluation procedure is fuzzy in nature, accounts for both vagueness and intensity of deprivation and produces a comprehensive set of synthetic indicators for policy-makers.
Articolo in rivista - Articolo scientifico
Multidimensional deprivation, Fuzzy poverty, Partial order theory, Hasse diagram
English
2016
128
2
835
858
reserved
Fattore, M. (2016). Partially Ordered Sets and the Measurement of Multidimensional Ordinal Deprivation. SOCIAL INDICATORS RESEARCH, 128(2), 835-858 [10.1007/s11205-015-1059-6].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/99027
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