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On the integration of deterministic opinions into mortality smoothing and forecasting

Published online by Cambridge University Press:  09 February 2022

Viani Biatat Djeundje Open the ORCID record for Viani Biatat Djeundje [Opens in a new window]
Viani Biatat Djeundje*
Affiliation:
University of Edinburgh, United Kingdom
*
E-mail: [email protected]
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Abstract

Modelling and forecasting mortality is a topic of crucial importance to actuaries and demographers. However, forecasts from the majority of mortality projection models are continuations of past trends seen in the data. As such, these models are unable to account for external opinions or expert judgement. In this work, we present a method for the incorporation of deterministic opinions into the smoothing and forecasting of mortality rates using constraints. Not only does our approach yield a smooth transition from the past into the future, but also, the shapes of the resulting forecasts are governed by a combination of the opinion inputs and the speed of improvements observed in the data. In addition, our approach offers the possibility to compute the amount of uncertainty around the projected mortality trends conditional on the opinion inputs, and this allows us to highlight some of the pitfalls of deterministic projection methods.

Keywords

Mortality modellingForecastingExpert opinionsSmoothingConditional uncertainty
Type
Original Research Paper
Information
Annals of Actuarial Science , Volume 16 , Issue 2 , July 2022 , pp. 384 - 400
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of Institute and Faculty of Actuaries

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