Panel regression models for measuring multidimensional poverty dynamics | Zendy

Gianni Betti | Zendy; Antonella D’Agostino | Zendy; Laura Neri | Zendy

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Panel regression models for measuring multidimensional poverty dynamics

Author(s) -

Gianni Betti,

Antonella D’Agostino,

Laura Neri

Publication year - 2002

Publication title -

statistical methods and applications

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.591

H-Index - 29

eISSN - 1618-2510

pISSN - 1613-981X

DOI - 10.1007/bf02509832

Subject(s) - econometrics , unobservable , poverty , british household panel survey , panel data , variance (accounting) , collinearity , regression analysis , statistics , economics , mathematics , accounting , economic growth

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

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