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The breakdown behavior of the maximum likelihood estimator in the logistic regression model
Authors:Christophe Croux  Ccile Flandre  Gentiane Haesbroeck
Institution:

a Department of Applied Economics, Katholieke Universiteit Leuven, Naamsestraat 69, B-3000, Leuven, Belgium

b Cardif Vie S.A., Chaussée de la Hulpe 150, B-1170, Bruxelles, Belgium

c Department of Mathematics, University of Liège (B37), Grande Traverse 12, B-4000, Liège, Belgium

Abstract:In this note we discuss the breakdown behavior of the maximum likelihood (ML) estimator in the logistic regression model. We formally prove that the ML-estimator never explodes to infinity, but rather breaks down to zero when adding severe outliers to a data set. An example confirms this behavior.
Keywords:Breakdown point  Logistic regression  Maximum likelihood  Robust estimation
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