6 citations · 13 across the 3 of their papers we have counts for
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stat.ME2023★ 1 cited
Mapping poverty at multiple geographical scales
Silvia De Nicolò, Enrico Fabrizi, Aldo Gardini
Poverty mapping is a powerful tool to study the geography of poverty. The choice of the spatial resolution is central as poverty measures defined at a coarser level may mask their…
stat.ME2021★ 6 cited
Mind the Income Gap: Bias Correction of Inequality Estimators in Small-Sized Samples
Silvia De Nicolò, Maria Rosaria Ferrante, Silvia Pacei
Income inequality estimators are biased in small samples, leading generally to an underestimation. This aspect deserves particular attention when estimating inequality in small dom…