Longevity Forecasting by Socio-Economic Groups Using Compositional Data Analysis
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2020/03/02
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Indian UGC (journal)
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Refrences40
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Citations8
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S⊘ren Kjærgaard University of Southern Denmark , Odense , Denmark
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Yunus Emre Ergemen Aarhus University Denmark
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Marie-Pier Bergeron-Boucher University of Southern Denmark , Odense , Denmark
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Jim Oeppen University of Southern Denmark , Odense , Denmark
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Malene Kallestrup-Lamb Aarhus University Denmark
Abstract
Cite
Kjærgaard, S⊘ren, et al. “Longevity Forecasting by Socio-Economic Groups Using Compositional Data Analysis”. Journal of the Royal Statistical Society Series A: Statistics in Society, vol. 183, no. 3, 2020, pp. 1167-8, https://doi.org/10.1111/rssa.12555.
Kjærgaard, S., Ergemen, Y. E., Bergeron-Boucher, M.-P., Oeppen, J., & Kallestrup-Lamb, M. (2020). Longevity Forecasting by Socio-Economic Groups Using Compositional Data Analysis. Journal of the Royal Statistical Society Series A: Statistics in Society, 183(3), 1167-1187. https://doi.org/10.1111/rssa.12555
Kjærgaard, S⊘ren, Yunus Emre Ergemen, Marie-Pier Bergeron-Boucher, Jim Oeppen, and Malene Kallestrup-Lamb. “Longevity Forecasting by Socio-Economic Groups Using Compositional Data Analysis”. Journal of the Royal Statistical Society Series A: Statistics in Society 183, no. 3 (2020): 1167-87. https://doi.org/10.1111/rssa.12555.
Kjærgaard S, Ergemen YE, Bergeron-Boucher MP, Oeppen J, Kallestrup-Lamb M. Longevity Forecasting by Socio-Economic Groups Using Compositional Data Analysis. Journal of the Royal Statistical Society Series A: Statistics in Society. 2020;183(3):1167-8.
Journal Categories
Science
Mathematics
Probabilities
Mathematical statistics
Social Sciences
Social Sciences
Economic theory
Demography
Economics as a science
Social Sciences
Statistics
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Refrences
Refrences Analysis
The category
Social Sciences: Economic theory. Demography: Economics as a science 4
is the most frequently represented among the references in this article. It primarily includes studies from International Journal of Forecasting and Journal of Forecasting. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Longevity hedge effectiveness using socioeconomic indices | Insurance: Mathematics and Economics |
| 2024 | |
| A modal age at death approach to forecasting adult mortality | Population Studies |
| 2024 | |
| Mortality modelling with arrival of additional year of mortality data: Calibration and forecasting | Demographic Research |
| 2024 | |
Excess death estimates from multiverse analysis in 2009–2021 | European Journal of Epidemiology |
| 7 | 2023 |
| Thirty years on: A review of the Lee–Carter method for forecasting mortality | International Journal of Forecasting |
| 12 | 2023 |
Citations Analysis
The category
Social Sciences: Economic theory. Demography: Economics as a science 4
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Insight into stagnating adult life expectancy: Analyzing cause of death patterns across socioeconomic groups and was published in 2020. The most recent citation comes from a 2024 study titled Mortality modelling with arrival of additional year of mortality data: Calibration and forecasting. This article reached its peak citation in 2024, with 3 citations. It has been cited in 8 different journals, 12% of which are open access. Among related journals, the Demographic Research cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.