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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Format: | Thesis |
Language: | English |
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2019
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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 |
id | ftskemman:oai:skemman.is:1946/33431 |
institution | Open Polar |
language | English |
op_collection_id | ftskemman |
op_relation | http://hdl.handle.net/1946/33431 |
publishDate | 2019 |
record_format | openpolar |
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 |