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Decomposing Current Mortality Differences Into Initial Differences and Differences in Trends: The Contour Decomposition Method
This study proposes a new decomposition method that permits a difference in an aggregate measure at a final time point to be split into additive components corresponding to the initial differences in the event rates of the measure and differences in trends in these underlying event rates. For instan...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5547192/ https://www.ncbi.nlm.nih.gov/pubmed/28755276 http://dx.doi.org/10.1007/s13524-017-0599-6 |
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author | Jdanov, Dmitri A. Shkolnikov, Vladimir M. van Raalte, Alyson A. Andreev, Evgeny M. |
author_facet | Jdanov, Dmitri A. Shkolnikov, Vladimir M. van Raalte, Alyson A. Andreev, Evgeny M. |
author_sort | Jdanov, Dmitri A. |
collection | PubMed |
description | This study proposes a new decomposition method that permits a difference in an aggregate measure at a final time point to be split into additive components corresponding to the initial differences in the event rates of the measure and differences in trends in these underlying event rates. For instance, when studying divergence in life expectancy, this method allows researchers to more easily contrast age-specific mortality trends between populations by controlling for initial age-specific mortality differences. Two approaches are assessed: (1) an additive change method that uses logic similar to cause-of-death decomposition, and (2) a contour decomposition method that extends the stepwise replacement algorithm along an age-period demographic contour. The two approaches produce similar results, but the contour method is more widely applicable. We provide a full description of the contour replacement method and examples of its application to life expectancy and lifetime disparity differences between the United States and England and Wales in the period 1980–2010. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s13524-017-0599-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5547192 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-55471922017-08-21 Decomposing Current Mortality Differences Into Initial Differences and Differences in Trends: The Contour Decomposition Method Jdanov, Dmitri A. Shkolnikov, Vladimir M. van Raalte, Alyson A. Andreev, Evgeny M. Demography Article This study proposes a new decomposition method that permits a difference in an aggregate measure at a final time point to be split into additive components corresponding to the initial differences in the event rates of the measure and differences in trends in these underlying event rates. For instance, when studying divergence in life expectancy, this method allows researchers to more easily contrast age-specific mortality trends between populations by controlling for initial age-specific mortality differences. Two approaches are assessed: (1) an additive change method that uses logic similar to cause-of-death decomposition, and (2) a contour decomposition method that extends the stepwise replacement algorithm along an age-period demographic contour. The two approaches produce similar results, but the contour method is more widely applicable. We provide a full description of the contour replacement method and examples of its application to life expectancy and lifetime disparity differences between the United States and England and Wales in the period 1980–2010. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s13524-017-0599-6) contains supplementary material, which is available to authorized users. Springer US 2017-07-28 2017-08 /pmc/articles/PMC5547192/ /pubmed/28755276 http://dx.doi.org/10.1007/s13524-017-0599-6 Text en © The Author(s) 2017 Open Access This 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 | Article Jdanov, Dmitri A. Shkolnikov, Vladimir M. van Raalte, Alyson A. Andreev, Evgeny M. Decomposing Current Mortality Differences Into Initial Differences and Differences in Trends: The Contour Decomposition Method |
title | Decomposing Current Mortality Differences Into Initial Differences and Differences in Trends: The Contour Decomposition Method |
title_full | Decomposing Current Mortality Differences Into Initial Differences and Differences in Trends: The Contour Decomposition Method |
title_fullStr | Decomposing Current Mortality Differences Into Initial Differences and Differences in Trends: The Contour Decomposition Method |
title_full_unstemmed | Decomposing Current Mortality Differences Into Initial Differences and Differences in Trends: The Contour Decomposition Method |
title_short | Decomposing Current Mortality Differences Into Initial Differences and Differences in Trends: The Contour Decomposition Method |
title_sort | decomposing current mortality differences into initial differences and differences in trends: the contour decomposition method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5547192/ https://www.ncbi.nlm.nih.gov/pubmed/28755276 http://dx.doi.org/10.1007/s13524-017-0599-6 |
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