Joint hypothesis tests for multidimensional inequality indices

Ramses H Abul Naga, Yajie Shen, Hong Il Yoo

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An inequality index over p dimensions of well-being is decomposable by attributes if it can expressed as a function of p unidimensional inequality indices and a measure of association between the various dimensions of well-being. We exploit this decomposition framework to derive joint hypothesis tests regarding the sources of multidimensional inequality, and present Monte Carlo evidence on their finite sample behavior.
Original languageEnglish
Pages (from-to)138-142
Number of pages5
JournalEconomics Letters
Early online date27 Feb 2016
Publication statusPublished - Apr 2016

Bibliographical note

This work has been undertaken with the support of the A*MIDEX project (n ∘ ANR-11-IDEX-0001-02) funded by the “Investissements d’Avenir” French Government program, managed by the French National Research Agency (ANR). We are grateful to Julian Williams, Editor Badi H. Baltagi and an anonymous referee for helpful comments. We are responsible for any errors.


  • multidimensional inequality indices
  • large sample distributions
  • joint hypothesis tests
  • bootstrap


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