Measuring uncertainty for poverty indicators at regional level: The case of mediterranean countries

I Benedetti, F Crescenzi, T Laureti - Sustainability, 2020 - mdpi.com
Over the last years, there has been an increased interest in compiling poverty indicators as
well as in providing uncertainty measures both at national and regional level. In this paper …

Non-parametric estimation of Gini index with right censored observations

SK Kattumannil, I Dewan, N Sreelaksmi - Statistics & Probability Letters, 2021 - Elsevier
We obtain a simple non-parametric estimator of the Gini index when the sample contains
right censored observations. Asymptotic properties of the proposed estimator are studied …

Estimation of Gini index within pre-specified error bound

B Chattopadhyay, SK De - Econometrics, 2016 - mdpi.com
Gini index is a widely used measure of economic inequality. This article develops a theory
and methodology for constructing a confidence interval for Gini index with a specified …

A convenient method of decomposing the Gini index by population subgroups

T Ogwang - Journal of Official Statistics, 2014 - journals.sagepub.com
We propose a convenient method of estimating the within-group, between-group, and
interaction components of the overall traditional Gini index from the estimated parameters of …

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 …

[PDF][PDF] A comparative study of the Gini coefficient estimators based on the linearization and U-statistics methods

S Mirzaei, GRM Borzadaran, M Amini - Revista Colombiana de …, 2017 - redalyc.org
In this paper, we consider two well-known methods for analysis of the Gini index, which are
U-statistics and linearization for some income distributions. In addition, we evaluate two …

Confidence intervals of Gini coefficient under unequal probability sampling

YG Berger, İG Balay - Journal of official statistics, 2020 - journals.sagepub.com
We propose an estimator for the Gini coefficient, based on a ratio of means. We show how
bootstrap and empirical likelihood can be combined to construct confidence intervals. Our …

Structural Inequality in Collaboration Networks

R Ventura - Philosophy of Science, 2023 - cambridge.org
Recent models of scientific collaboration show that minorities can end up at a disadvantage
in bargaining scenarios. However, these models presuppose the existence of social …

Linearisation for Variance Estimation by Means of Sampling Indicators: Application to Non‐response

AA Vallée, Y Tillé - International Statistical Review, 2019 - Wiley Online Library
In the presence of non‐response, it is usual to impute missing values, to reweight
responding units and to adapt the estimators accordingly. The computation of the precision …

Non-parametric inference for Gini covariance and its variants

SK Kattumannil, N Sreelakshmi, N Balakrishnan - Sankhya A, 2020 - Springer
We obtain simple non-parametric estimators of Gini-based covariance, correlation and
regression coefficients. We then establish the consistency and asymptotic normality of the …