Health losses at the end of life: a Bayesian mixed beta regression approach

摘要: Summary The relationship between aging, health and healthcare expenditures is of central importance to academics public policy makers. Generally, it observed that, with advancing age, deteriorates increase. This seems imply that increases in life expectancy would strongly increase both the demand for number years lived poor health. Previous research has shown such straightforward conclusions may be flawed. For example, been established not age but ‘time death’ main driver increased at advanced ages. The paper extends this line by investigating time death health, last being longitudinally measured via a health-related quality-of-life questionnaire. We propose an approach modelling outcome accounts non-standard nature response variable (e.g. bounded, left skewed or heteroscedastic) panel structure data. Analyses were performed within Bayesian framework. found losses are centred final phase life, which indicates future longevity will necessarily spent alleviate consequences population aging.