Modeling and forecasting healthy life expectancy with Compositional Data Analysis

Marie-Pier Bergeron-Boucher*, Cosmo Strozza, Violetta Simonacci, James Oeppen

*Corresponding author for this work

Research output: Other contributionResearch

Abstract

Will the extra years of life gained by the increase in life expectancy be lived in good or poor health? As forecasts support social, economic and medical decisions, as well as individuals' choices, there is a clear rationale for forecasting healthy life expectancy (HLE). However, only a limited number of models is available to forecast HLE. We here suggest two models to forecast health and mortality simultaneously and coherently. One model is based on the Sullivan method to estimate HLE and the second one on the multistate life table method. Both models use Compositional Data Analysis (CoDA) to account for the coherence between health and mortality. Mortality and health at age 50 and above is forecast for Spanish and Swedish females. Both models provide similar estimates and forecasts of HLE, estimating and predicting a compression of morbidity in Sweden and a dynamic equilibrium in Spain.
Original languageEnglish
Publication date9. Jul 2022
PublisherSocArXiv
DOIs
Publication statusPublished - 9. Jul 2022

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