A measure of association based on gini’s mean difference

Edna Schechtman, Shlomo Yitzhaki

Research output: Contribution to journalArticlepeer-review

111 Scopus citations


A measure of association between two random variables is proposed, which represents a compromise between the classical correlation coefficient and the rank correlation coefficient. The new measure is based on the covariance between two variables where one variable is taken in its variate values while the other is ranked. The large sample distribution of this measure is studied and some possible applications in economics are mentioned, particularly its usefulness in decompositions of the Gini Coefficient, according to income sources.

Original languageEnglish
Pages (from-to)207-231
Number of pages25
JournalCommunications in Statistics - Theory and Methods
Issue number1
StatePublished - 1 Jan 1987
Externally publishedYes


  • Gini coefficient
  • asymptotically distribution - free test
  • consistent estimation
  • correlation coefficient
  • u- statistics

ASJC Scopus subject areas

  • Statistics and Probability


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