The impact of geographical factors on churn prediction: an application to an insurance company in Madrid's urban area

DOI10.1080/03461238.2018.1531781zbMath1411.91276OpenAlexW2901673744MaRDI QIDQ5743527

Ana Angulo, Miguel Ángel de la Llave, Fernando Lopez

Publication date: 10 May 2019

Published in: Scandinavian Actuarial Journal (Search for Journal in Brave)

Full work available at URL: http://zaguan.unizar.es/record/89257

zbMATH Keywords

insurancespatial autocorrelationchurn predictionMadridlapse predictionspatial probit model

Mathematics Subject Classification ID

Uses Software

• Arc_Mat
• earth

Cites Work

• Unnamed Item
• Contracting in space: An application of spatial statistics to discrete-choice models
• Multivariate adaptive regression splines
• Modelling and predicting customer churn from an insurance company
• On the asymptotic distribution of the Moran \(I\) test stastistic with applications

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