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 GIOVANNIUltimo
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.