A Measure of Association Based on Gini's Mean Difference

Edna Schechtman and Shlomo Yitzhaki

No 232621, Working Papers from Hebrew University of Jerusalem, Center for Agricultural Economic Research

Abstract: 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 are mentioned.

Keywords: Research; Methods/Statistical; Methods (search for similar items in EconPapers)
Pages: 30
Date: 1985
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Persistent link: https://EconPapers.repec.org/RePEc:ags:huaewp:232621

DOI: 10.22004/ag.econ.232621

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