Theoretical and empirical studies have recently adopted a multidimensional concept of poverty. There is considerable debate about the most appropriate degree of multidimensionality to retain in the analysis. In this work we add to the received literature in two ways. First, we derive indicators of multiple deprivation by applying a particular multivariate statistical technique, the non-linear principal component analysis (NLPCA), which overcomes traditional limits of many of the mostly used methodologies for poverty measurement. Second, on the basis of the aforementioned indicators, we provide an accurate identification of the poor in Italy by analyzing deprivation both as a distinct phenomenon in different life domains and as a single multidimensional concept. The main determinants of poverty in Italy are then investigated by estimating logit regressions and an ordered probit model. Our empirical analysis is based on data from the Italian component of European Statistics on Income and Living Conditions (EU-SILC-2004).

Coromaldi, M., Zoli, M. (2012). Deriving multidimensional poverty indicators: methodological issues and an empirical analysis for Italy. SOCIAL INDICATORS RESEARCH, 107(1), 37-54 [10.1007/s11205-011-9825-6].

Deriving multidimensional poverty indicators: methodological issues and an empirical analysis for Italy

ZOLI, MARIANGELA
2012-01-01

Abstract

Theoretical and empirical studies have recently adopted a multidimensional concept of poverty. There is considerable debate about the most appropriate degree of multidimensionality to retain in the analysis. In this work we add to the received literature in two ways. First, we derive indicators of multiple deprivation by applying a particular multivariate statistical technique, the non-linear principal component analysis (NLPCA), which overcomes traditional limits of many of the mostly used methodologies for poverty measurement. Second, on the basis of the aforementioned indicators, we provide an accurate identification of the poor in Italy by analyzing deprivation both as a distinct phenomenon in different life domains and as a single multidimensional concept. The main determinants of poverty in Italy are then investigated by estimating logit regressions and an ordered probit model. Our empirical analysis is based on data from the Italian component of European Statistics on Income and Living Conditions (EU-SILC-2004).
2012
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore SECS-P/02 - POLITICA ECONOMICA
Settore SECS-P/03 - SCIENZA DELLE FINANZE
English
Con Impact Factor ISI
deprivation; income poverty; multidimensional analysis
Coromaldi, M., Zoli, M. (2012). Deriving multidimensional poverty indicators: methodological issues and an empirical analysis for Italy. SOCIAL INDICATORS RESEARCH, 107(1), 37-54 [10.1007/s11205-011-9825-6].
Coromaldi, M; Zoli, M
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/101862
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