Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Future trends of life expectancy by education in the Netherlands

View through CrossRef
Abstract Background National projections of life expectancy are made periodically by statistical offices or actuarial societies in Europe and are widely used, amongst others for reforms of pension systems. However, these projections may not provide a good estimate of the future trends in life expectancy of different social-economic groups. The objective of this study is to provide insight in future trends in life expectancies for low, mid and high educated men and women living in the Netherlands. Methods We used a three-layer Li and Lee model with data from neighboring countries to complement Dutch time series. Results Our results point at further increases of life expectancy between age 35 and 85 and of remaining life expectancy at age 35 and age 65, for all education groups in the Netherlands. The projected increase in life expectancy is slightly larger among the high educated than among the low educated. Life expectancy of low educated women, particularly between age 35 and 85, shows the smallest projected increase. Our results also suggest that inequalities in life expectancies between high and low educated will be similar or slightly increasing between 2018 and 2048. We see no indication of a decline in inequality between the life expectancy of the low and high educated. Conclusions The educational inequalities in life expectancy are expected to persist or slightly increase for both men and women. The persistence and possible increase of inequalities in life expectancy between the educational groups may cause equity concerns of increases in pension age that are equal among all socio-economic groups.
Title: Future trends of life expectancy by education in the Netherlands
Description:
Abstract Background National projections of life expectancy are made periodically by statistical offices or actuarial societies in Europe and are widely used, amongst others for reforms of pension systems.
However, these projections may not provide a good estimate of the future trends in life expectancy of different social-economic groups.
The objective of this study is to provide insight in future trends in life expectancies for low, mid and high educated men and women living in the Netherlands.
Methods We used a three-layer Li and Lee model with data from neighboring countries to complement Dutch time series.
Results Our results point at further increases of life expectancy between age 35 and 85 and of remaining life expectancy at age 35 and age 65, for all education groups in the Netherlands.
The projected increase in life expectancy is slightly larger among the high educated than among the low educated.
Life expectancy of low educated women, particularly between age 35 and 85, shows the smallest projected increase.
Our results also suggest that inequalities in life expectancies between high and low educated will be similar or slightly increasing between 2018 and 2048.
We see no indication of a decline in inequality between the life expectancy of the low and high educated.
Conclusions The educational inequalities in life expectancy are expected to persist or slightly increase for both men and women.
The persistence and possible increase of inequalities in life expectancy between the educational groups may cause equity concerns of increases in pension age that are equal among all socio-economic groups.

Related Results

Understanding the United States Black-White Life Expectancy Gap, 2007-2018
Understanding the United States Black-White Life Expectancy Gap, 2007-2018
BACKGROUND: Life expectancy is a critical measure of population health. In the U.S., Black Americans have historically experienced lower life expectancy than White Americans due to...
Healthcare Expenditure and Life Expectancy in Africa: A Panel Study
Healthcare Expenditure and Life Expectancy in Africa: A Panel Study
Objective of the Study: The study examined the nature of relationship between healthcare expenditure and life expectancy in a panel of 45 African Countries, disaggregated into diff...
Modeling and Forecasting Health Expectancy: Theoretical Framework and Application
Modeling and Forecasting Health Expectancy: Theoretical Framework and Application
AbstractLife expectancy continues to grow in most Western countries; however, a major remaining question is whether longer life expectancy will be associated with more or fewer lif...
Life expectancy in the province of Halland, Sweden, 1911-50: the progress of public health in a long-living population
Life expectancy in the province of Halland, Sweden, 1911-50: the progress of public health in a long-living population
Background: Life expectancy in Sweden is currently one of the longest in the world. The population of Halland has the longest life expectancy in Sweden. Aim: Life expectancy in the...
Face expectancy cues differentially modulate conflict processing driven by emotional incongruence: An EEG study
Face expectancy cues differentially modulate conflict processing driven by emotional incongruence: An EEG study
Abstract Adaptive behavior in social interactions requires the effective processing of conflicting emotional information. The impact of expectancy on conflict processing re...
Pet Euthanasia and Human Euthanasia
Pet Euthanasia and Human Euthanasia
Photo ID 213552852 © Yuryz | Dreamstime.com Abstract A criticism of assisted death is that it’s contrary to the Hippocratic Oath. This opposition to assisted death assumes that dea...

Back to Top