Joint Hypothesis Tests for Multidimensional Inequality Indices

R. H. Abul Naga, Y. Shen, H. I. Yoo

Research output: Working paperDiscussion paper

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Abstract

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
Place of PublicationAberdeen
PublisherUniversity of Aberdeen Business School
Pages0-12
Number of pages13
Publication statusPublished - 8 Feb 2016

Publication series

NameDiscussion Paper in Economics
PublisherUniversity of Aberdeen
No.3
Volume16
ISSN (Electronic)0143-4543

Keywords

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

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