Longevity forecasting by socio-economic groups using compositional data analysis
Year of publication: |
2019
|
---|---|
Authors: | Kjærgaard, Søren ; Ergemen, Yunus Emre ; Boucher, Marie-Pier Bergeron ; Oeppenand, Jim ; Kallestrup-Lamb, Malene |
Publisher: |
Aarhus, Denmark : Department of Economics and Business Economics, Aarhus University |
Subject: | Compositional data | forecasting | longevity | pension | socioeconomic groups | Prognoseverfahren | Forecasting model | Sterblichkeit | Mortality |
Extent: | 1 Online-Ressource (circa 32 Seiten) Illustrationen |
---|---|
Series: | CREATES research paper. - Aarhus : [Verlag nicht ermittelbar], ZDB-ID 2490360-7. - Vol. 2019, 8 |
Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Graue Literatur ; Non-commercial literature ; Arbeitspapier ; Working Paper |
Language: | English |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Forecasting mortality using imputed data : the case of Taiwan
Luo, Sheng-Feng, (2016)
-
The longevity prospects of Australian seniors : an evaluation of forecast method and outcome
Tickle, Leonie, (2014)
-
Mortality effects of temperature changes in the United Kingdom
Seklecka, Malgorzata, (2017)
- More ...
-
Forecasting causes of death using compositional data analysis : the case of cancer deaths
Kjærgaard, Søren, (2019)
-
Mortality forecasting at age 65 and above : an age-specific evaluation of the Lee-Carter model
Boucher, Marie-Pier Bergeron, (2022)
-
Rizzi, Silvia, (2021)
- More ...