Edgeworth expansions and normalizing transforms for inequality measures

DOI10.1016/j.jeconom.2008.12.022zbMath1429.62697OpenAlexW2004139412MaRDI QIDQ302159

Christian Schluter, Kees Jan van Garderen

Publication date: 4 July 2016

Published in: Journal of Econometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jeconom.2008.12.022

zbMATH Keywords

generalized entropy inequality measureshigher-order expansionsnormalizing transformations

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Asymptotic distribution theory in statistics (62E20) Statistical methods; economic indices and measures (91B82)

Related Items (4)

Functional Sequential Treatment Allocation ⋮ Discussion of S.G. Donald et al. and R. Davidson ⋮ On the problem of inference for inequality measures for heavy‐tailed distributions ⋮ Joint hypothesis tests for multidimensional inequality indices

Uses Software

• bootlib

Cites Work

• Unnamed Item
• Asymptotic and bootstrap inference for inequality and poverty measures
• Effects of transformations in higher order asymptotic expansions
• Efficient estimation of income distribution parameters
• Bootstrap inference for inequality, mobility and poverty measurement
• Tails of Lorenz curves
• Some Generalized Functions for the Size Distribution of Income
• Large Sample Properties of Two Inequality Indices
• Prepivoting to reduce level error of confidence sets
• Importance sampling and the nested bootstrap
• On the Structure of Additive Inequality Measures
• Statistical Inference for the Measurement of the Incidence of Taxes and Transfers
• TRANSFORMATIONS FOR MULTIVARIATE STATISTICS
• The bootstrap and Edgeworth expansion

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