Dynamic principal component regression for forecasting functional time series in a group structure

Volume: 2020, Issue: 4, Pages: 307 - 322
Published: Sep 16, 2019
Abstract
When generating social policies and pricing annuity at national and subnational levels, it is essential both to forecast mortality accurately and ensure that forecasts at the subnational level add up to the forecasts at the national level. This has motivated recent developments in forecasting functional time series in a group structure, where static principal component analysis is used. In the presence of moderate to strong temporal dependence,...
Paper Details
Title
Dynamic principal component regression for forecasting functional time series in a group structure
Published Date
Sep 16, 2019
Volume
2020
Issue
4
Pages
307 - 322
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