Incorporating structural changes in mortality improvements for mortality forecasting

DOI10.1080/03461238.2020.1748102zbMath1454.91198OpenAlexW3019601958MaRDI QIDQ5140650

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Publication date: 16 December 2020

Published in: Scandinavian Actuarial Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03461238.2020.1748102

zbMATH Keywords

mortality trendsstructural changesmortality forecastingLee-Carter methodage patterns

Mathematics Subject Classification ID

Mathematical geography and demography (91D20) Actuarial mathematics (91G05)

Related Items (2)

Time-series forecasting of mortality rates using transformer ⋮ It takes two: why mortality trend modeling is more than modeling one mortality trend

Uses Software

• Human Mortality

Cites Work

• Unnamed Item
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• The choice of sample size for mortality forecasting: a Bayesian learning approach
• A Poisson log-bilinear regression approach to the construction of projected lifetables.
• Multidimensional Lee-Carter model with switching mortality processes
• A cohort-based extension to the Lee-Carter model for mortality reduction factors
• Mortality Regimes and Pricing
• Lee–Carter Mortality Forecasting: A Parallel Generalized Linear Modelling Approach for England and Wales Mortality Projections
• The impact of multiple structural changes on mortality predictions
• Using the Lee-Carter Method to Forecast Mortality for Populations with Limited Data*
• Smoothing constrained generalized linear models with an application to the Lee-Carter model
• Smoothing the Lee–Carter and Poisson log-bilinear models for mortality forecasting

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