Small-sample bias correction of inequality estimators in complex surveys

S De Nicolò, MR Ferrante… - Journal of Official …, 2024 - journals.sagepub.com
Income inequality estimators are biased in small samples, leading generally to an
underestimation. This aspect deserves particular attention when estimating inequality in …

Extended beta models for poverty mapping. An application integrating survey and remote sensing data in Bangladesh

S De Nicolò, E Fabrizi, A Gardini - 2022 - amsacta.unibo.it
The paper targets the estimation of the poverty rate at the Upazila level in Bangladesh
through the use of Demographic and Health Survey (DHS) data. Upazilas are administrative …

Poverty and inequality mapping based on a unit-level log-normal mixture model

A Gardini, E Fabrizi, C Trivisano - Journal of the Royal Statistical …, 2022 - academic.oup.com
Estimating poverty and inequality parameters for small sub-populations with adequate
precision is often beyond the reach of ordinary survey-weighted methods because of small …

Small area estimation of inequality measures using mixtures of Beta

S De Nicolò, MR Ferrante, S Pacei - Journal of the Royal …, 2024 - academic.oup.com
Economic inequalities referring to specific regions are crucial in deepening spatial
heterogeneity. Income surveys are generally planned to produce reliable estimates at …

On the estimation of complex statistics combining different surveys

V Chasiotis, D Karlis - arXiv preprint arXiv:2404.05702, 2024 - arxiv.org
The importance of exploring a potential integration among surveys has been acknowledged
in order to enhance effectiveness and minimize expenses. In this work, we employ the …

The R package tipsae: tools for mapping proportions and indicators on the unit interval

S De Nicolò, A Gardini - 2022 - amsacta.unibo.it
The tipsae package implements a set of small area estimation tools for mapping proportions
and indicators defined on the unit interval. It provides for small area models defined at area …

Mind the income gap: bias correction of inequality estimators in small-sized samples

S De Nicolò, MR Ferrante, S Pacei - arXiv preprint arXiv:2107.08950, 2021 - arxiv.org
Income inequality estimators are biased in small samples, leading generally to an
underestimation. This aspect deserves particular attention when estimating inequality in …

Stima per Piccole Aree di Indicatori di Diseguaglianza

S DE NICOLÒ - 2022 - research.unipd.it
The demand for income inequality estimates, referring to local areas or specific
subpopulations, is growing due to their relevance for policy-making and applied research in …