Time-simultaneous prediction bands: A new look at the uncertainty involved in forecasting mortality
Conventionally, isolated (point-wise) prediction intervals are used to quantify the uncertainty in future mortality rates and other demographic quantities such as life expectancy. A pointwise interval reflects uncertainty in a variable at a single time point, but it does not account for any dynamic property of the time-series. As a result, in situations when the path or trajectory of future mortality rates is important, a band of pointwise intervals might lead to an invalid inference. To improve the communication of uncertainty, a simultaneous prediction band can be used. The primary objective of this paper is to demonstrate how simultaneous prediction bands can be created for prevalent stochastic models, including the Cairns-Blake-Dowd and Lee-Carter models. The illustrations in this paper are based on mortality data from the general population of England and Wales.
Year of publication: |
2011
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Authors: | Li, Johnny Siu-Hang ; Chan, Wai-Sum |
Published in: |
Insurance: Mathematics and Economics. - Elsevier, ISSN 0167-6687. - Vol. 49.2011, 1, p. 81-88
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Publisher: |
Elsevier |
Keywords: | Bayesian methods Longevity risk The Cairns-Blake-Dowd model The Lee-Carter model |
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