The Gini concentration index: a review of the inference literature
GM Giorgi, C Gigliarano - Journal of Economic Surveys, 2017 - Wiley Online Library
More than a century ago, Corrado Gini proposed his well‐known concentration index for
measuring the degree of inequality in the distribution of income and wealth. His index is still …
measuring the degree of inequality in the distribution of income and wealth. His index is still …
Model-assisted estimation through random forests in finite population sampling
In surveys, the interest lies in estimating finite population parameters such as population
totals and means. In most surveys, some auxiliary information is available at the estimation …
totals and means. In most surveys, some auxiliary information is available at the estimation …
Asymptotic efficiency of the calibration estimator in a high-dimensional data setting
In a finite population sampling survey, auxiliary information is commonly used to improve the
Horvitz–Thompson estimators and calibration has been extensively used by national …
Horvitz–Thompson estimators and calibration has been extensively used by national …
Uniform convergence and asymptotic confidence bands for model-assisted estimators of the mean of sampled functional data
When the study variable is functional and storage capacities are limited or transmission
costs are high, selecting with survey sampling techniques a small fraction of the …
costs are high, selecting with survey sampling techniques a small fraction of the …
Survey weighted estimating equation inference with nuisance functionals
P Zhao, D Haziza, C Wu - Journal of Econometrics, 2020 - Elsevier
This paper provides a rigorous treatment on design-based estimating equation inference
using complex survey data in the presence of nuisance functionals. The proposed design …
using complex survey data in the presence of nuisance functionals. The proposed design …
Model-assisted estimation in high-dimensional settings for survey data
Model-assisted estimators have attracted a lot of attention in the last three decades. These
estimators attempt to make an efficient use of auxiliary information available at the …
estimators attempt to make an efficient use of auxiliary information available at the …
Comparison of different sample designs and construction of confidence bands to estimate the mean of functional data: An illustration on electricity consumption
When the study variables are functional and storage capacities are limited or transmission
costs are high, using survey techniques to select a portion of the observations of the …
costs are high, using survey techniques to select a portion of the observations of the …
Using Complex Surveys to Estimate the L1‐Median of a Functional Variable: Application to Electricity Load Curves
Mean profiles are widely used as indicators of the electricity consumption habits of
customers. Currently, in Électricité De France (EDF), class load profiles are estimated using …
customers. Currently, in Électricité De France (EDF), class load profiles are estimated using …
Augmented two-step estimating equations with nuisance functionals and complex survey data
P Zhao, C Wu - The Econometrics Journal, 2024 - academic.oup.com
Statistical inference in the presence of nuisance functionals with complex survey data is an
important topic in social and economic studies. The Gini index, Lorenz curves, and quantile …
important topic in social and economic studies. The Gini index, Lorenz curves, and quantile …
Analysing large datasets of functional data: a survey sampling point of view
At the age of Big Data, it is now common to have to deal with very large datasets of
phenomena that evolve over time. When the aim is to estimate simple quantities such as the …
phenomena that evolve over time. When the aim is to estimate simple quantities such as the …