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  1. Pubblicazioni

Projecting the long run relationship of multi-population life expectancy by race

Articolo
Data di Pubblicazione:
2017
Citazione:
(2017). Projecting the long run relationship of multi-population life expectancy by race [journal article - articolo]. In JOURNAL OF STATISTICAL AND ECONOMETRIC METHODS. Retrieved from http://hdl.handle.net/10446/117554
Abstract:
Census data demonstrate that life expectancy has improved over the last 100 years. In this paper, we attempt to predict life expectancy in the USA by both race( black people, white people, and the general population) and gender. In doing this, we employ methods of cointegration
analysis that have appeared recently in the actuarial and demography literature. We investigate the dependence(through cointegration analysis) between the six variables and it shows a better fit with better performance than others models such as VAR and ARIMA in predicting life expectancy at birth by race. We show that there are similar long-term trends in the average life expectancy of the members of all the main racial groups residing in the USA. Our study offers new insights to demographers with regard to predicting the average future life expectancy of members of different racial groups.
Tipologia CRIS:
1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays
Elenco autori:
NTAMJOKOUEN SOBGNI, Achille; Haberman, Steve; Consigli, Giorgio
Autori di Ateneo:
CONSIGLI Giorgio
Link alla scheda completa:
https://aisberg.unibg.it/handle/10446/117554
Link al Full Text:
https://aisberg.unibg.it/retrieve/handle/10446/117554/237337/JSEM_Vol%206_2_RaceLifeExpectancy_2017.pdf
Pubblicato in:
JOURNAL OF STATISTICAL AND ECONOMETRIC METHODS
Journal
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Settore SECS-S/06 - Metodi mat. dell'economia e Scienze Attuariali e Finanziarie
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