Tails of Lorenz curves
From MaRDI portal
Publication:1867734
DOI10.1016/S0304-4076(01)00145-2zbMath1021.62101OpenAlexW2014047715MaRDI QIDQ1867734
Christian Schluter, Mark Trede
Publication date: 2 April 2003
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0304-4076(01)00145-2
Applications of statistics to economics (62P20) Statistics of extreme values; tail inference (62G32)
Related Items (8)
Asymptotic and bootstrap inference for inequality and poverty measures ⋮ Income distribution and inequality measurement: the problem of extreme values ⋮ Statistical inference in the presence of heavy tails ⋮ Discussion of S.G. Donald et al. and R. Davidson ⋮ On the problem of inference for inequality measures for heavy‐tailed distributions ⋮ Edgeworth expansions and normalizing transforms for inequality measures ⋮ Estimation of the income distribution and detection of subpopulations: an explanatory model ⋮ Size distributions reconsidered
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A new functional form for approximating the Lorenz curve
- On asymptotic normality of Hill's estimator for the exponent of regular variation
- A simple general approach to inference about the tail of a distribution
- A generalization of the beta distribution with applications
- How to make a Hill plot.
- Some Generalized Functions for the Size Distribution of Income
- Distribution-Free Statistical Inference with Lorenz Curves and Income Shares
- Joint Confidence Intervals for Income Shares and Lorenz Curves
- Estimation of Parameters and Larger Quantiles Based on the k Largest Observations
- Statistical Inference for the Measurement of the Incidence of Taxes and Transfers
- Exact Rates of Convergence to a Stable Law
This page was built for publication: Tails of Lorenz curves