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Joint modelling of male and female mortality rates using adaptive P-splines
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Tang, Kai Hon, Dodd, Erengul and Forster, Jonathan J. (2022) Joint modelling of male and female mortality rates using adaptive P-splines. Annals of Actuarial Science, 16 (1). pp. 119-135. doi:10.1017/S1748499521000105 ISSN 1748-4995.
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Official URL: http://dx.doi.org/10.1017/S1748499521000105
Abstract
Raw mortality data often exhibit irregular patterns due to randomness. Graduation refers to the act of smoothing crude mortality rates. In this paper, we propose a flexible and robust methodology for graduating mortality rates using adaptive P-splines. Since the observed data at high ages are often sparse and unreliable, we use an exponentially increasing penalty. We use mortality data of England and Wales and model male and female mortality rates jointly by means of penalties, achieving borrowing of information between the two sexes.
Item Type: | Journal Article | ||||||||
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Subjects: | H Social Sciences > HB Economic Theory Q Science > QA Mathematics |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics | ||||||||
Library of Congress Subject Headings (LCSH): | Mortality, Spline theory, Bayesian statistical decision theory, Mortality -- Statistical methods, Smoothing (Statistics) | ||||||||
Journal or Publication Title: | Annals of Actuarial Science | ||||||||
Publisher: | Cambridge University Press | ||||||||
ISSN: | 1748-4995 | ||||||||
Official Date: | 1 April 2022 | ||||||||
Dates: |
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Volume: | 16 | ||||||||
Number: | 1 | ||||||||
Page Range: | pp. 119-135 | ||||||||
DOI: | 10.1017/S1748499521000105 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||
Date of first compliant deposit: | 27 February 2023 | ||||||||
Date of first compliant Open Access: | 27 February 2023 | ||||||||
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