We study the evolution in remaining life expectancy and healthy life expectancy of the U.S. population from 1972 to 2020, distinguished by genders. We propose a methodology to forecast life expectancy and healthy life expectancy by incorporating the joint future developments of age-specific...

This paper proposes a model for self-assessed health at an aggregate level that allows to generate age- and gender-specific stochastic forecasts of future health. We decompose health status into a time effect and an age effect. We then further decompose the time effect into observed...

Forecasted mortality rates using mortality models proposed in the recent literature are sensitive to the sample size. In this paper we propose a method based on Bayesian learning to determine model-specific posterior distributions of the sample sizes. In particular, the sample size is included...