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Sex-specific mortality forecasting for UK countries: a coherent approach
This paper introduces a gender specific model for the joint mortality projection of three countries (England and Wales combined, Scotland, and Northern Ireland) of the United Kingdom. The model, called 2-tier Augmented Common Factor model, extends the classical Lee and Carter [26] and Li and Lee [32...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6004005/ https://www.ncbi.nlm.nih.gov/pubmed/29974029 http://dx.doi.org/10.1007/s13385-017-0164-0 |
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author | Chen, Ree Yongqing Millossovich, Pietro |
author_facet | Chen, Ree Yongqing Millossovich, Pietro |
author_sort | Chen, Ree Yongqing |
collection | PubMed |
description | This paper introduces a gender specific model for the joint mortality projection of three countries (England and Wales combined, Scotland, and Northern Ireland) of the United Kingdom. The model, called 2-tier Augmented Common Factor model, extends the classical Lee and Carter [26] and Li and Lee [32] models, with a common time factor for the whole UK population, a sex specific period factor for males and females, and a specific time factor for each country within each gender. As death counts in each subpopulation are modelled directly, a Poisson framework is used. Our results show that the 2-tier ACF model improves the in-sample fitting compared to the use of independent LC models for each subpopulation or of independent Li and Lee models for each couple of genders within each country. Mortality projections also show that the 2-tier ACF model produces coherent forecasts for the two genders within each country and different countries within each gender, thus avoiding the divergence issues arising when independent projections are used. The 2-tier ACF is further extended to include a cohort term to take into account the faster improvements of the UK ‘golden generation’. |
format | Online Article Text |
id | pubmed-6004005 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-60040052018-07-02 Sex-specific mortality forecasting for UK countries: a coherent approach Chen, Ree Yongqing Millossovich, Pietro Eur Actuar J Original Research Paper This paper introduces a gender specific model for the joint mortality projection of three countries (England and Wales combined, Scotland, and Northern Ireland) of the United Kingdom. The model, called 2-tier Augmented Common Factor model, extends the classical Lee and Carter [26] and Li and Lee [32] models, with a common time factor for the whole UK population, a sex specific period factor for males and females, and a specific time factor for each country within each gender. As death counts in each subpopulation are modelled directly, a Poisson framework is used. Our results show that the 2-tier ACF model improves the in-sample fitting compared to the use of independent LC models for each subpopulation or of independent Li and Lee models for each couple of genders within each country. Mortality projections also show that the 2-tier ACF model produces coherent forecasts for the two genders within each country and different countries within each gender, thus avoiding the divergence issues arising when independent projections are used. The 2-tier ACF is further extended to include a cohort term to take into account the faster improvements of the UK ‘golden generation’. Springer Berlin Heidelberg 2018-02-02 2018 /pmc/articles/PMC6004005/ /pubmed/29974029 http://dx.doi.org/10.1007/s13385-017-0164-0 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Research Paper Chen, Ree Yongqing Millossovich, Pietro Sex-specific mortality forecasting for UK countries: a coherent approach |
title | Sex-specific mortality forecasting for UK countries: a coherent approach |
title_full | Sex-specific mortality forecasting for UK countries: a coherent approach |
title_fullStr | Sex-specific mortality forecasting for UK countries: a coherent approach |
title_full_unstemmed | Sex-specific mortality forecasting for UK countries: a coherent approach |
title_short | Sex-specific mortality forecasting for UK countries: a coherent approach |
title_sort | sex-specific mortality forecasting for uk countries: a coherent approach |
topic | Original Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6004005/ https://www.ncbi.nlm.nih.gov/pubmed/29974029 http://dx.doi.org/10.1007/s13385-017-0164-0 |
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