Risk Assessment on Individual Accident Insurance

碩士 === 逢甲大學 === 風險管理與保險研究所 === 98 === The data of the thesis was selected from「Taiwan Personal Accidental Death Benefit Experience Morbidity Report」edited by Taiwan Insurance Institute (2002-2006 Observation Year), for accident death and disablement experience data. This thesis analyzes sex, occupat...

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Main Authors: Pei-hsien Chang, 張佩仙
Other Authors: Jin-Tian Lin
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/03015966980931229664
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spelling ndltd-TW-098FCU052180162016-04-20T04:18:18Z http://ndltd.ncl.edu.tw/handle/03015966980931229664 Risk Assessment on Individual Accident Insurance 個人傷害保險之風險評析 Pei-hsien Chang 張佩仙 碩士 逢甲大學 風險管理與保險研究所 98 The data of the thesis was selected from「Taiwan Personal Accidental Death Benefit Experience Morbidity Report」edited by Taiwan Insurance Institute (2002-2006 Observation Year), for accident death and disablement experience data. This thesis analyzes sex, occupation and age by BVAR, in order to assess classification efficiency on different analysis projects. The final results of this research shows that:Combining occupation and age, sex and age, or sex, occupation and age together in analysis yielded better efficiency than considering occupation alone. However, considering two risk classification variables didn’t differ much than considering more risk classification variables. Finally, according to the analysis, for individual accident death and disablement insurance, the study suggest:As this analysis found, life and casualty insurance companies and governmental agencies should consider combining occupation and age in insurance rate classification, to yield more efficient and fair rating classes. Jin-Tian Lin 林進田 2010 學位論文 ; thesis 151 zh-TW
collection NDLTD
language zh-TW
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description 碩士 === 逢甲大學 === 風險管理與保險研究所 === 98 === The data of the thesis was selected from「Taiwan Personal Accidental Death Benefit Experience Morbidity Report」edited by Taiwan Insurance Institute (2002-2006 Observation Year), for accident death and disablement experience data. This thesis analyzes sex, occupation and age by BVAR, in order to assess classification efficiency on different analysis projects. The final results of this research shows that:Combining occupation and age, sex and age, or sex, occupation and age together in analysis yielded better efficiency than considering occupation alone. However, considering two risk classification variables didn’t differ much than considering more risk classification variables. Finally, according to the analysis, for individual accident death and disablement insurance, the study suggest:As this analysis found, life and casualty insurance companies and governmental agencies should consider combining occupation and age in insurance rate classification, to yield more efficient and fair rating classes.
author2 Jin-Tian Lin
author_facet Jin-Tian Lin
Pei-hsien Chang
張佩仙
author Pei-hsien Chang
張佩仙
spellingShingle Pei-hsien Chang
張佩仙
Risk Assessment on Individual Accident Insurance
author_sort Pei-hsien Chang
title Risk Assessment on Individual Accident Insurance
title_short Risk Assessment on Individual Accident Insurance
title_full Risk Assessment on Individual Accident Insurance
title_fullStr Risk Assessment on Individual Accident Insurance
title_full_unstemmed Risk Assessment on Individual Accident Insurance
title_sort risk assessment on individual accident insurance
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/03015966980931229664
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