Retention Modeling with Survival Analysis

We utilize methods from a branch of statistics called survival analysis in order to assess factors that influence the cancellation of house fire and mandatory vehicle insurance policies. The data was obtained from an insurance company in Iceland and is based on insurance policies that were issued wh...

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Bibliographic Details
Main Author: Sindri Geirsson 1993-
Other Authors: Háskóli Íslands
Format: Thesis
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/1946/33431
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author Sindri Geirsson 1993-
author2 Háskóli Íslands
author_facet Sindri Geirsson 1993-
author_sort Sindri Geirsson 1993-
collection Skemman (Iceland)
description We utilize methods from a branch of statistics called survival analysis in order to assess factors that influence the cancellation of house fire and mandatory vehicle insurance policies. The data was obtained from an insurance company in Iceland and is based on insurance policies that were issued whithin a three year horizon, namely in 2013, 2014 and 2015. With statistical methods from survival analysis we were able to detect when policies are being cancelled, not just whether they were cancelled. A cox proportional hazard model was used to analyse factors that were predictive in terms of insurance policy cancellation. We provide a comprehensive review on the literature of insurance, customer relationship management as well as the practical applications of survival analysis when it comes to insurance policy cancellation.
format Thesis
genre Iceland
genre_facet Iceland
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spelling ftskemman:oai:skemman.is:1946/33431 2025-01-16T22:36:13+00:00 Retention Modeling with Survival Analysis Sindri Geirsson 1993- Háskóli Íslands 2019-06 application/pdf http://hdl.handle.net/1946/33431 en eng http://hdl.handle.net/1946/33431 Hagnýt tölfræði Tryggingar Thesis Master's 2019 ftskemman 2022-12-11T06:54:15Z We utilize methods from a branch of statistics called survival analysis in order to assess factors that influence the cancellation of house fire and mandatory vehicle insurance policies. The data was obtained from an insurance company in Iceland and is based on insurance policies that were issued whithin a three year horizon, namely in 2013, 2014 and 2015. With statistical methods from survival analysis we were able to detect when policies are being cancelled, not just whether they were cancelled. A cox proportional hazard model was used to analyse factors that were predictive in terms of insurance policy cancellation. We provide a comprehensive review on the literature of insurance, customer relationship management as well as the practical applications of survival analysis when it comes to insurance policy cancellation. Thesis Iceland Skemman (Iceland)
spellingShingle Hagnýt tölfræði
Tryggingar
Sindri Geirsson 1993-
Retention Modeling with Survival Analysis
title Retention Modeling with Survival Analysis
title_full Retention Modeling with Survival Analysis
title_fullStr Retention Modeling with Survival Analysis
title_full_unstemmed Retention Modeling with Survival Analysis
title_short Retention Modeling with Survival Analysis
title_sort retention modeling with survival analysis
topic Hagnýt tölfræði
Tryggingar
topic_facet Hagnýt tölfræði
Tryggingar
url http://hdl.handle.net/1946/33431