Joint hypothesis tests for multidimensional inequality indices

Ramses H Abul Naga, Yajie Shen, Hong Il Yoo

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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
Pages (from-to)138-142
Number of pages5
JournalEconomics Letters
Volume141
Early online date11 Feb 2016
DOIs
Publication statusPublished - Apr 2016

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Well-being
Inequality indices
Hypothesis test
Multidimensional inequality
Finite sample
Decomposition

Keywords

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

Cite this

Joint hypothesis tests for multidimensional inequality indices. / Abul Naga, Ramses H; Shen, Yajie; Yoo, Hong Il.

In: Economics Letters, Vol. 141, 04.2016, p. 138-142.

Research output: Contribution to journalArticle

Abul Naga, Ramses H ; Shen, Yajie ; Yoo, Hong Il. / Joint hypothesis tests for multidimensional inequality indices. In: Economics Letters. 2016 ; Vol. 141. pp. 138-142.
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