Forecasting multiple functional time series in a group...

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Articles Articles Forecasting multiple functional time series in a group structure : an application to mortality - Lin Shang, Han

Collection: Articles

Title: Forecasting multiple functional time series in a group structure : an application to mortality / Han Lin Shang, Steven Haberman

Notes: Sumario: When modelling subnational mortality rates, we should consider three features: How to incorporate any possible correlation among subpopulations to potentially improve forecast accuracy through multi-population joint modelling; How to reconcile subnational mortality forecasts so that they aggregate adequately across various levels of a group structure; Among the forecast reconciliation methods, how to combine their forecasts to achieve improved forecast accuracy. To address these issues, we introduce an extension of grouped univariate functional time-series method. We first consider a multivariate functional time-series method to jointly forecast multiple related series. We then evaluate the impact and benefit of using forecast combinations among the forecast reconciliation methods. Using the Japanese regional age-specific mortality rates, we investigate 115-step-ahead point and interval forecast accuracies of our proposed extension and make recommendations.

Other authors: Haberman, Steven Icono con lupa

Other categories: 6

Derechos: In Copyright (InC): http://rightsstatements.org/vocab/InC/1.0/

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