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


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


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