In this paper, we introduce a new methodology for socio-economic evaluation with ordinal data, which allows to compute synthetic indicators without variable aggregation, overcoming some of the major problems when classical evaluation procedures are employed in an ordinal setting. In the paper, we describe the methodology step by step, discussing its conceptual and analytical structure. For exemplification purposes, we apply the methodology to real data pertaining to subjective well-being in Italy, for year 2010.

Fattore, M., Maggino, F., Arcagni, A. (2016). Non-aggregative assessment of subjective well-being. In G. Alleva, A. Giommi (a cura di), Topics in Theoretical and Applied Statistics (pp. 227-237). Springer International Publishing [10.1007/978-3-319-27274-0_20].

Non-aggregative assessment of subjective well-being

FATTORE, MARCO
;
ARCAGNI, ALBERTO GIOVANNI
Ultimo
2016

Abstract

In this paper, we introduce a new methodology for socio-economic evaluation with ordinal data, which allows to compute synthetic indicators without variable aggregation, overcoming some of the major problems when classical evaluation procedures are employed in an ordinal setting. In the paper, we describe the methodology step by step, discussing its conceptual and analytical structure. For exemplification purposes, we apply the methodology to real data pertaining to subjective well-being in Italy, for year 2010.
Capitolo o saggio
Partial order; Subjective wellbeing; Hasse diagram
English
Topics in Theoretical and Applied Statistics
Alleva, G; Giommi, A
2016
978-3-319-27272-6
Springer International Publishing
227
237
Fattore, M., Maggino, F., Arcagni, A. (2016). Non-aggregative assessment of subjective well-being. In G. Alleva, A. Giommi (a cura di), Topics in Theoretical and Applied Statistics (pp. 227-237). Springer International Publishing [10.1007/978-3-319-27274-0_20].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/138378
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