This work concerns the studying of poverty dynamics and the analysis of the influencing socio-demographic factors. A fuzzy and multidimensional approach has been chosen in order to define two different poverty measures. A panel regression model has been estimated and particular attention has been paid to the treatment of the unobservable heterogeneity among longitudinal units. The specified model combines autoregression with variance components. The empirical analysis has been conducted using the data set of the British Household Panel Survey (BHPS) from 1991 to 1997.

Betti, G., Dagostino, A., & Neri, L. (2002). Panel Regression Models for Measuring Multidimensional Poverty Dynamics. STATISTICAL METHODS & APPLICATIONS, 11(3), 359-369 [10.1007/BF02509832].

Panel Regression Models for Measuring Multidimensional Poverty Dynamics

BETTI, GIANNI;NERI, LAURA
2002

Abstract

This work concerns the studying of poverty dynamics and the analysis of the influencing socio-demographic factors. A fuzzy and multidimensional approach has been chosen in order to define two different poverty measures. A panel regression model has been estimated and particular attention has been paid to the treatment of the unobservable heterogeneity among longitudinal units. The specified model combines autoregression with variance components. The empirical analysis has been conducted using the data set of the British Household Panel Survey (BHPS) from 1991 to 1997.
Betti, G., Dagostino, A., & Neri, L. (2002). Panel Regression Models for Measuring Multidimensional Poverty Dynamics. STATISTICAL METHODS & APPLICATIONS, 11(3), 359-369 [10.1007/BF02509832].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11365/34158
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