Using Logistic Regression Models to Predict and Understand Why Customers Leave an Insurance Company

Montserrat Guillen, Jan Parner, Chresten Densgsoe and Ana M. Perez-Marin
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Montserrat Guillen: Department of d'Econometria, Universitat de Barcelona, Diagonal 690, 08034 Barcelona, Spain
Jan Parner: Business Intelligence Unit, Codan Forsikring, Denmark
Chresten Densgsoe: Department of d'Econometria, Universitat de Barcelona, Diagonal 690, 08034 Barcelona, Spain
Ana M. Perez-Marin: Departamento de Econometría, Estadística y Economía Española, Facultad de Ciencias Económicas y Empresariales de la Universidad de Barcelona, Av. Diagonal, 690, 08034 Barcelona, Spain

Chapter 13 in Intelligent and Other Computational Techniques in Insurance:Theory and Applications, 2003, pp 465-490 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractThe following sections are included:IntroductionQualitative Dependent Variable ModelsModel SpecificationEstimation and InferenceStages in the Modeling ProcessCustomer InformationEmpirical ResultsConclusionsAcknowledgmentsReferences

Keywords: Insurance; Actuarial Science; Neural Networks; Fuzzy Systems; Computational Intelligence; Computational Techniques; Life and Health Insurance; Property and Casualty Insurance (search for similar items in EconPapers)
Date: 2003
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Citations: View citations in EconPapers (2)

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