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From the help desk: Comparing areas under receiver operating characteristic curves from two or more probit or logit models

Author

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  • Mario A. Cleves

    (Department of Pediatrics, University of Arkansas for Medical Sciences)

Abstract

Occasionally, there is a need to compare the predictive accuracy of several fitted logit (logistic) or probit models by comparing the areas under the corresponding receiver operating characteristic (ROC) curves. Although Stata currently does not have a ready routine for comparing two or more ROC areas generated from these models, this article describes how these comparisons can be performed using Stata's roccomp command. Copyright 2002 by Stata Corporation.

Suggested Citation

  • Mario A. Cleves, 2002. "From the help desk: Comparing areas under receiver operating characteristic curves from two or more probit or logit models," Stata Journal, StataCorp LP, vol. 2(3), pages 301-313, August.
    • Handle: RePEc:tsj:stataj:v:2:y:2002:i:3:p:301-313
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    3. C. Simon Fan & Xiangdong Wei & Junsen Zhang, 2017. "Soft Skills, Hard Skills, And The Black/White Wage Gap," Economic Inquiry, Western Economic Association International, vol. 55(2), pages 1032-1053, April.
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    11. Simon Cornée, 2012. "The Relevance of Soft Information for Predicting Small Business Credit Default: Evidence from a Social Bank," Economics Working Paper Archive (University of Rennes & University of Caen) 201226, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS, revised Sep 2015.
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