In this paper we mirror the framework of generalized (non-)linear models to define the family of generalized age-period-cohort stochastic mortality models which encompasses the vast majority of stochastic mortality projection models proposed to date, including the well-known Lee-Carter and Cairns-Blake-Dowd models. We also introduce the R package StMoMo which exploits the unifying framework of the generalized age-period-cohort family to provide tools for fitting stochastic mortality models, assessing their goodness of fit and performing mortality projections. We illustrate some of the capabilities of the package by performing a comparison of several stochastic mortality models applied to the England and Wales population.
Titolo: | StMoMo: Stochastic Mortality Modeling in R |
Autori: | |
Data di pubblicazione: | 2018 |
Data ahead of print: | 17-apr-2018 |
Stato di pubblicazione: | Pubblicato |
Rivista: | |
Abstract: | In this paper we mirror the framework of generalized (non-)linear models to define the family of generalized age-period-cohort stochastic mortality models which encompasses the vast majority of stochastic mortality projection models proposed to date, including the well-known Lee-Carter and Cairns-Blake-Dowd models. We also introduce the R package StMoMo which exploits the unifying framework of the generalized age-period-cohort family to provide tools for fitting stochastic mortality models, assessing their goodness of fit and performing mortality projections. We illustrate some of the capabilities of the package by performing a comparison of several stochastic mortality models applied to the England and Wales population. |
Handle: | http://hdl.handle.net/11368/2926351 |
Digital Object Identifier (DOI): | http://dx.doi.org/10.18637/jss.v084.i03 |
URL: | https://www.jstatsoft.org/article/view/v084i03 https://www.jstatsoft.org/index.php/jss/article/view/v084i03/v84i03.pdf |
Appare nelle tipologie: | 1.1 Articolo in Rivista |
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