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StMoMo: Stochastic Mortality Modeling in R

Andres, Villegas
•
MILLOSSOVICH, PIETRO
•
Vladimir, Kaishev
2018
  • journal article

Periodico
JOURNAL OF STATISTICAL SOFTWARE
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.
DOI
10.18637/jss.v084.i03
WOS
WOS:000430529300001
Archivio
http://hdl.handle.net/11368/2926351
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85045662037
https://www.jstatsoft.org/article/view/v084i03
https://www.jstatsoft.org/index.php/jss/article/view/v084i03/v84i03.pdf
Diritti
open access
license:creative commons
license uri:http://creativecommons.org/licenses/by/4.0/
FVG url
https://arts.units.it/bitstream/11368/2926351/4/Millossovich_StMoMo.pdf
Soggetti
  • mortality modeling

  • mortality forecasting...

  • age-period-cohort

  • generalized non-linea...

Scopus© citazioni
22
Data di acquisizione
Jun 7, 2022
Vedi dettagli
Web of Science© citazioni
60
Data di acquisizione
Mar 26, 2024
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