Authors
Rahim Mahmoudvand, Dimitrios Konstantinides, Paulo Canas Rodrigues
Publication date
2017/11
Journal
Applied Stochastic Models in Business and Industry
Volume
33
Issue
6
Pages
717-732
Description
In this paper, we investigate the possibility of using multivariate singular spectrum analysis (SSA), a nonparametric technique in the field of time series analysis, for mortality forecasting. We consider a real data application with 9 European countries: Belgium, Denmark, Finland, France, Italy, Netherlands, Norway, Sweden, and Switzerland, over a period 1900 to 2009, and a simulation study based on the data set. The results show the superiority of multivariate SSA in comparison with the univariate SSA, in terms of forecasting accuracy.
Scholar articles
R Mahmoudvand, D Konstantinides, PC Rodrigues - Applied Stochastic Models in Business and Industry, 2017