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Smoothing and forecasting mortality rates

Smoothing and forecasting mortality rates The prediction of future mortality rates is a problem of fundamental importance forthe insurance and pensions industry. We show how the method of P-splinescan be extended to the smoothing and forecasting of two-dimensional mortalitytables. We use a penalized generalized linear model with Poisson errors and show howto construct regression and penalty matrices appropriate for two-dimensionalmodelling. An important feature of our method is that forecasting is a naturalconsequence of the smoothing process. We illustrate our methods with two data setsprovided by the Continuous Mortality Investigation Bureau, a central body for thecollection and processing of UK insurance and pensions data. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Statistical Modelling: An International Journal SAGE

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References (33)

Publisher
SAGE
Copyright
Copyright © by SAGE Publications
ISSN
1471-082X
eISSN
1477-0342
DOI
10.1191/1471082X04st080oa
Publisher site
See Article on Publisher Site

Abstract

The prediction of future mortality rates is a problem of fundamental importance forthe insurance and pensions industry. We show how the method of P-splinescan be extended to the smoothing and forecasting of two-dimensional mortalitytables. We use a penalized generalized linear model with Poisson errors and show howto construct regression and penalty matrices appropriate for two-dimensionalmodelling. An important feature of our method is that forecasting is a naturalconsequence of the smoothing process. We illustrate our methods with two data setsprovided by the Continuous Mortality Investigation Bureau, a central body for thecollection and processing of UK insurance and pensions data.

Journal

Statistical Modelling: An International JournalSAGE

Published: Dec 1, 2004

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