Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/43437
Title: Measuring child poverty and its uncertainty: A case study of 33 european countries
Authors: Benedetti, Ilaria 
Betti, Gianni
Crescenzi, Federico
Journal: SUSTAINABILITY 
Issue Date: 2020
Abstract: 
Over the last few years, there has been increased interest in compiling poverty indicators for children, as well as in providing uncertainty measures that are associated with point estimates. In this paper, we provide point, variance, and interval confidence estimates of the at-risk-of-poverty rate indicator for 33 European countries. Using the 2018 EU-SILC survey, we analysed the spatial distribution of poverty by providing graphical representations at the national level. Our results reveal rates of child poverty that are higher than in the national estimates for most of the countries. By considering the computation of standard errors, we used the bootstrap method thanks to its convenient properties. It is worth noting that, for some countries, such as Finland, Belgium, and Ireland, the confidence intervals do not overlap. These results suggest differences among countries not only in terms of child poverty, but also in terms of social protection and the welfare state.
URI: http://hdl.handle.net/2067/43437
ISSN: 2071-1050
DOI: 10.3390/su12198204
Appears in Collections:A1. Articolo in rivista

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