Agostino Tarsitano () (Dipartimento di Economia e Statistica, Università della Calabria)
Abstract
Rank correlation is a fundamental tool to express dependence in cases in which the data are arranged in order. There are, by contrast, circumstances where the ordinal association is of a nonlinear type. In this paper we investigate the effectiveness of several measures of rank correlation. These measures have been divided into three classes: conventional rank correlations, weighted rank correlations, correlations of scores. Our findings suggest that none is systematically better than the other in all circumstances. However, a simply weighted version of the Kendall rank correlation coefficient provides plausible answers to many special situations where intercategory distances could not be considered on the same basis.
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Publisher Info
Paper provided by Università della Calabria, Dipartimento di Economia e Statistica in its series Working Papers with number
200906.
Length: 24 pages Date of creation: Apr 2009 Date of revision: Handle: RePEc:clb:wpaper:200906
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