Jackknife empirical likelihood confidence interval for the Gini index
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Publication:273757
DOI10.1016/j.spl.2015.09.026zbMath1383.62328OpenAlexW1779117663MaRDI QIDQ273757
Dirk W. Gilmore, Yichuan Zhao, Dongliang Wang
Publication date: 22 April 2016
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spl.2015.09.026
Applications of statistics to economics (62P20) Nonparametric statistical resampling methods (62G09) Statistical methods; economic indices and measures (91B82)
Related Items (9)
Jackknife empirical likelihood based inference for probability weighted moments ⋮ Subsampling based inference for \(U\) statistics under thick tails using self-normalization ⋮ Small sample inference for probabilistic index models ⋮ Jackknife empirical likelihood-based inference for S-Gini indices ⋮ Empirical likelihood inference for semi-parametric transformation models with length-biased sampling ⋮ Non-parametric estimation of Gini index with right censored observations ⋮ Reduce the computation in jackknife empirical likelihood for comparing two correlated Gini indices ⋮ Non-parametric inference for Gini covariance and its variants ⋮ Unified smoothed jackknife empirical likelihood tests for comparing income inequality indices
Uses Software
Cites Work
- Inference on inequality from household survey data
- Reliable inference for the Gini index
- Distributions of maximum likelihood estimators of Lorenz curve and Gini index of exponential distribution
- Bootstrap inference for inequality, mobility and poverty measurement
- EMPIRICAL LIKELIHOOD METHODS FOR THE GINI INDEX
- Empirical likelihood ratio confidence intervals for a single functional
- Jackknife Empirical Likelihood
- Jackknifing $U$-Statistics
- A Class of Statistics with Asymptotically Normal Distribution
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