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.
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Univ So Calif, CESR, Los Angeles, CA 90089 USAUniv So Calif, CESR, Los Angeles, CA 90089 USA
Kapteyn, Arie
Lee, Jinkook
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Univ So Calif, CESR, Los Angeles, CA 90089 USA
USC, Davis Sch Gerontol, Los Angeles, CA USA
RAND Corp, Los Angeles, CA USAUniv So Calif, CESR, Los Angeles, CA 90089 USA
Lee, Jinkook
Tassot, Caroline
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Univ So Calif, CESR, Los Angeles, CA 90089 USAUniv So Calif, CESR, Los Angeles, CA 90089 USA
Tassot, Caroline
Vonkova, Hana
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Charles Univ Prague, Fac Educ, Prague, Czech Republic
Charles Univ Prague, Fac Med 1, Prague, Czech RepublicUniv So Calif, CESR, Los Angeles, CA 90089 USA
Vonkova, Hana
Zamarro, Gema
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Univ So Calif, CESR, Los Angeles, CA 90089 USAUniv So Calif, CESR, Los Angeles, CA 90089 USA