The evaluation of material deprivation, quality of life and well-being very often requires to deal with multidimensional systems of ordinal variables, rather than with classical numerical datasets. This poses new statistical and methodological challenges, since classical evaluation tools are not de- signed to deal with this kind of data. The mainstream evaluation methodologies generally follow a counting approach, as in a recent proposal by Alkire and Foster pertaining to the evaluation of multidimensional poverty. Counting procedures are inspired by the composite indicator approach and share similar drawbacks with it, computing aggregated indicators that may be poorly reliable. A recent and alternative proposal is to address the ordinal evaluation problem through partial or- der theory which provides tools that prove more consistent with the discrete nature of the data. The goal of the present paper is thus to introduce the two proposals, showing how the evaluation metho- dology based on partial order theory can be integrated in the counting approach of Alkire and Fos- ter.

Fattore, M., Greselin, F., Maggino, F. (2011). Socio-economic Evaluation with Ordinal Variables: Integrating Counting and Poset Approaches. STATISTICA & APPLICAZIONI, Special Issue, 2011, 31-42.

Socio-economic Evaluation with Ordinal Variables: Integrating Counting and Poset Approaches

FATTORE, MARCO;GRESELIN, FRANCESCA;
2011

Abstract

The evaluation of material deprivation, quality of life and well-being very often requires to deal with multidimensional systems of ordinal variables, rather than with classical numerical datasets. This poses new statistical and methodological challenges, since classical evaluation tools are not de- signed to deal with this kind of data. The mainstream evaluation methodologies generally follow a counting approach, as in a recent proposal by Alkire and Foster pertaining to the evaluation of multidimensional poverty. Counting procedures are inspired by the composite indicator approach and share similar drawbacks with it, computing aggregated indicators that may be poorly reliable. A recent and alternative proposal is to address the ordinal evaluation problem through partial or- der theory which provides tools that prove more consistent with the discrete nature of the data. The goal of the present paper is thus to introduce the two proposals, showing how the evaluation metho- dology based on partial order theory can be integrated in the counting approach of Alkire and Fos- ter.
Articolo in rivista - Articolo scientifico
Partial Order theory, Counting Approach, Evaluation, Material Deprivation, Quality of Life
English
7-nov-2011
Special Issue, 2011
31
42
none
Fattore, M., Greselin, F., Maggino, F. (2011). Socio-economic Evaluation with Ordinal Variables: Integrating Counting and Poset Approaches. STATISTICA & APPLICAZIONI, Special Issue, 2011, 31-42.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/33588
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