MortalityGaps {MortalityGaps}R Documentation

MortalityGaps: The Double-Gap Life Expectancy Forecasting Model

Description

Life expectancy is highly correlated over time among countries and between males and females. These associations can be used to improve forecasts. Here we have implemented a method for forecasting female life expectancy based on analysis of the gap between female life expectancy in a country compared with the record level of female life expectancy in the world. Second, to forecast male life expectancy, the gap between male life expectancy and female life expectancy in a country is analysed. We named this method the Double-Gap model. For a detailed description of the method see Pascariu et al. (2018). doi:10.1016/j.insmatheco.2017.09.011.

Details

To learn more about the package, start with the vignettes: browseVignettes(package = "MortalityGaps")

Author(s)

Maintainer: Marius D. Pascariu rpascariu@outlook.com (ORCID)

References

Human Mortality Database (2017). “University of California, Berkeley (USA), and Max Planck Institute for Demographic Research (Germany). Data downloaded on 10/06/2017.” https://www.mortality.org.

Pascariu MD (2018). MortalityLaws: Parametric Mortality Models, Life Tables and HMD. R package version 1.6.0, https://github.com/mpascariu/MortalityLaws.

Pascariu MD, Canudas-Romo V, Vaupel JW (2018). “The double-gap life expectancy forecasting model.” Insurance: Mathematics and Economics, 78, 339–350. doi:10.1016/j.insmatheco.2017.09.011.

See Also

Useful links:


[Package MortalityGaps version 1.0.7 Index]