Joint hypothesis tests for multidimensional inequality indices

DOI10.1016/j.econlet.2016.02.010zbMath1396.91589OpenAlexW339041693MaRDI QIDQ1668190

Ramses H. Abul Naga, Yajie Shen, Hong Il Yoo

Publication date: 3 September 2018

Published in: Economics Letters (Search for Journal in Brave)

Full work available at URL: http://eprints.lse.ac.uk/65678/

zbMATH Keywords

bootstraplarge sample distributionsmultidimensional inequality indicesjoint hypothesis tests

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Statistical methods; economic indices and measures (91B82)

Cites Work

• Asymptotic and bootstrap inference for inequality and poverty measures
• Income distribution and inequality measurement: the problem of extreme values
• Edgeworth expansions and normalizing transforms for inequality measures
• Statistical inference for multidimensional inequality indices
• Improving the reliability of bootstrap tests with the fast double bootstrap
• Multidimensional generalizations of the relative and absolute inequality indices: The Atkinson-Kolm-Sen approach
• Attribute decomposition of multidimensional inequality indices
• Decomposition of bivariate inequality indices by attributes
• Handbook of econometrics. Vol. 5

This page was built for publication: Joint hypothesis tests for multidimensional inequality indices