Synthesis of Statistical Indicators to Evaluate Quality of Life in the Italian Provinces
AbstractThis work remarks the need to carefully evaluate the real importance of each variable used in a multivariate analysis context, with particular regard to cases when an overall performance ranking is the main final purpose. In particular, both a preliminary transformation of variables – aimed at reducing asymmetry and variability of their variation ranges – and the evaluation of their intrinsic explicative power – through redundancy analysis and weighting methods – are proposed. Theoretical and empirical considerations are developed in the frame of quality of life evaluation, carried out at the Italian provinces level on the basis of a yearly survey managed by the Italian economic newspaper "Il Sole24ore". A particular emphasis is given to some normalisation criteria and the case when original variables are grouped "a priori" into logical blocks. A final comparison between the actual ranking method and a series of alternatives is proposed as well.
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Bibliographic InfoPaper provided by Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia in its series Quaderni DSEMS with number 02-2008.
Length: 26 pages
Date of creation: Jan 2008
Date of revision:
multivariate analysis; principal components analysis; ranking; redundant variable; weighing system.;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-04-15 (All new papers)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Massimo Alfonso Russo & Roberto Gismondi, 2007. "Methodological Proposals for a Qualitative Evaluation of Italian Durum Wheat Varieties," Quaderni DSEMS 23-2007, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
- Massimo A. Russo & Roberto Gismondi, 2004. "Definizione e calcolo di un indice territoriale di turisticita' un approccio statistico multivariato," Quaderni DSEMS 11-2004, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
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