This article has three goals. First, we wish to compare three multidimensional approaches to poverty and check to what extent they identify the same households as poor. Second, we aim at better understanding the determinants of poverty by estimating logit regressions with five categories of explanatory variables: size of the household, age of the head of the household, her gender, marital status and status at work. Third, we introduce a decomposition procedure proposed recently in the literature, the so-called Shapley decomposition, in order to determine the exact marginal impact of each of the categories of explanatory variables. Our empirical analysis is based on data made available by the European Community Household Panel (ECHP). We used its third wave and selected five countries: Belgium, France, Germany, Italy and Spain. © 2011 Taylor & Francis.
D'Ambrosio, C., Deutsch, J., & Silber, J. (2011). Multidimensional Approaches to Poverty Measurement: An Empirical Analysis of Poverty in Belgium, France, Germany, Italy and Spain, based on the European Panel. APPLIED ECONOMICS, 2011.
Citazione: | D'Ambrosio, C., Deutsch, J., & Silber, J. (2011). Multidimensional Approaches to Poverty Measurement: An Empirical Analysis of Poverty in Belgium, France, Germany, Italy and Spain, based on the European Panel. APPLIED ECONOMICS, 2011. |
Tipo: | Articolo in rivista - Articolo scientifico |
Carattere della pubblicazione: | Scientifica |
Presenza di un coautore afferente ad Istituzioni straniere: | Si |
Titolo: | Multidimensional Approaches to Poverty Measurement: An Empirical Analysis of Poverty in Belgium, France, Germany, Italy and Spain, based on the European Panel |
Autori: | D'Ambrosio, C; Deutsch, J; Silber, J |
Autori: | |
Data di pubblicazione: | 2011 |
Lingua: | English |
Rivista: | APPLIED ECONOMICS |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1080/00036840802600129 |
Appare nelle tipologie: | 01 - Articolo su rivista |