Modelling long term care insurance in Singapore

With the impending increase in the ageing population, it is estimated, that eleven in hundred Singaporeans may require long term care. As a result, the Singapore government introduced ElderShield as an affordable severe disability insurance in 2002. However, extensive research on the construction of...

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Main Authors: Lai, Shuxian, Tan, Angeline Aan Chi
Other Authors: Uditha Balasooriya
Format: Final Year Project
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/15085
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-150852023-05-19T07:23:10Z Modelling long term care insurance in Singapore Lai, Shuxian Tan, Angeline Aan Chi Uditha Balasooriya Nanyang Business School DRNTU::Business::Finance::Actuarial science With the impending increase in the ageing population, it is estimated, that eleven in hundred Singaporeans may require long term care. As a result, the Singapore government introduced ElderShield as an affordable severe disability insurance in 2002. However, extensive research on the construction of long term care disability model for Singapore has not been carried out. The main objective of this study is to construct a multiple state model of disability for Singaporeans using ElderShield data which is of a non-longitudinal. We also investigate the feasibility of the multiple state model approach on LTC insurance in Singapore. The construction of the disability model requires transition probabilities and intensities. Due to the unavailability of longitudinal census data, a discrete time framework by Rickayzen and Walsh [2002] is adopted to estimate one-step transition probabilities. Thereafter, transition intensities are obtained by decomposing the estimated transition probabilities under Schur-Parlett’s method. The intensities are further constrained and graduated under complex mathematical methods used in life insurance. Our investigation shows that the multiple state model is able to produce reliable results for practical purposes. As one would expect, the transition probabilities and intensities estimated from the disability model increase with age and disability states. These findings are realistic and thus show the feasibility of the model. The practical use of disability models is to price LTC insurance. Although premiums are not calculated in this study, possible methods for pricing and scenario analyses are discussed. A possible avenue for future research can include pricing LTC insurance using this model. BUSINESS 2009-03-25T04:22:58Z 2009-03-25T04:22:58Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/15085 en Nanyang Technological University 50 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Business::Finance::Actuarial science
spellingShingle DRNTU::Business::Finance::Actuarial science
Lai, Shuxian
Tan, Angeline Aan Chi
Modelling long term care insurance in Singapore
description With the impending increase in the ageing population, it is estimated, that eleven in hundred Singaporeans may require long term care. As a result, the Singapore government introduced ElderShield as an affordable severe disability insurance in 2002. However, extensive research on the construction of long term care disability model for Singapore has not been carried out. The main objective of this study is to construct a multiple state model of disability for Singaporeans using ElderShield data which is of a non-longitudinal. We also investigate the feasibility of the multiple state model approach on LTC insurance in Singapore. The construction of the disability model requires transition probabilities and intensities. Due to the unavailability of longitudinal census data, a discrete time framework by Rickayzen and Walsh [2002] is adopted to estimate one-step transition probabilities. Thereafter, transition intensities are obtained by decomposing the estimated transition probabilities under Schur-Parlett’s method. The intensities are further constrained and graduated under complex mathematical methods used in life insurance. Our investigation shows that the multiple state model is able to produce reliable results for practical purposes. As one would expect, the transition probabilities and intensities estimated from the disability model increase with age and disability states. These findings are realistic and thus show the feasibility of the model. The practical use of disability models is to price LTC insurance. Although premiums are not calculated in this study, possible methods for pricing and scenario analyses are discussed. A possible avenue for future research can include pricing LTC insurance using this model.
author2 Uditha Balasooriya
author_facet Uditha Balasooriya
Lai, Shuxian
Tan, Angeline Aan Chi
format Final Year Project
author Lai, Shuxian
Tan, Angeline Aan Chi
author_sort Lai, Shuxian
title Modelling long term care insurance in Singapore
title_short Modelling long term care insurance in Singapore
title_full Modelling long term care insurance in Singapore
title_fullStr Modelling long term care insurance in Singapore
title_full_unstemmed Modelling long term care insurance in Singapore
title_sort modelling long term care insurance in singapore
publishDate 2009
url http://hdl.handle.net/10356/15085
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