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Insurance industry, especially car insurance, is one of the financial service businesses that has grown rapidly. In this present work, data on reported claims in a car insurance business was analyzed. Analysis was carried out using a binary logit model with the assumption that the probability of cla...

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Main Author: MEUTIA (NIM 10104049), NAFIRA
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/11022
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:11022
spelling id-itb.:110222017-09-27T11:43:06Z#TITLE_ALTERNATIVE# MEUTIA (NIM 10104049), NAFIRA Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/11022 Insurance industry, especially car insurance, is one of the financial service businesses that has grown rapidly. In this present work, data on reported claims in a car insurance business was analyzed. Analysis was carried out using a binary logit model with the assumption that the probability of claims reported in a particular age of policy in one policy year depends on gender and total sum insured. The effect of gender and total sum insured on the probability of claims reported was analyzed in: the first month of the policy period; the last month of the policy period; and the first six months of the policy period. A study was also carried out to analyze the effect of gender and total sum insured on the probability of more than one claim reported in one period. The results showed that with 10% level of significance (alpha ), total sum insured gives significant effect to the probability of claims to be reported in the first month of the policy period; while gender significantly affects the probability of more than one claim is reported in one period. <br /> text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Insurance industry, especially car insurance, is one of the financial service businesses that has grown rapidly. In this present work, data on reported claims in a car insurance business was analyzed. Analysis was carried out using a binary logit model with the assumption that the probability of claims reported in a particular age of policy in one policy year depends on gender and total sum insured. The effect of gender and total sum insured on the probability of claims reported was analyzed in: the first month of the policy period; the last month of the policy period; and the first six months of the policy period. A study was also carried out to analyze the effect of gender and total sum insured on the probability of more than one claim reported in one period. The results showed that with 10% level of significance (alpha ), total sum insured gives significant effect to the probability of claims to be reported in the first month of the policy period; while gender significantly affects the probability of more than one claim is reported in one period. <br />
format Final Project
author MEUTIA (NIM 10104049), NAFIRA
spellingShingle MEUTIA (NIM 10104049), NAFIRA
#TITLE_ALTERNATIVE#
author_facet MEUTIA (NIM 10104049), NAFIRA
author_sort MEUTIA (NIM 10104049), NAFIRA
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
title_sort #title_alternative#
url https://digilib.itb.ac.id/gdl/view/11022
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