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A multivariate approach to project the long run relationship between mortality indices for Canadian Provinces

Capitolo di libro
Data di Pubblicazione:
2014
Citazione:
(2014). A multivariate approach to project the long run relationship between mortality indices for Canadian Provinces [book chapter - capitolo di libro]. Retrieved from http://hdl.handle.net/10446/54287
Abstract:
The cointegration approach is proposed to model cross-province mortality indices within Canada. We apply and compare the vector autoregressive model (VAR) and the vector of error correction model (VECM) derived from cointegrated models for males and females. Relying on the Johansen cointegration test, the analysis shows clearly that there is a dependence among provincial mortality indices. The two models fit well the females data. However, poor performance has been revealed for men beyond 10 years horizons. We project the mortality indices from both models and compute the annuity from the forecasts. We project the mortality indices from both models and compute the annuity from the forecasts.
Tipologia CRIS:
1.2.01 Contributi in volume (Capitoli o Saggi) - Book Chapters/Essays
Elenco autori:
Ntamjouken, Achille; Haberman, Steve; Consigli, Giorgio
Autori di Ateneo:
CONSIGLI Giorgio
Link alla scheda completa:
https://aisberg.unibg.it/handle/10446/54287
Titolo del libro:
Mathematical and Statistical Methods for Actuarial Sciences and Finance
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Settore SECS-S/06 - Metodi mat. dell'economia e Scienze Attuariali e Finanziarie
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