long-term trend fitting;
forecasting evaluation;
density forecasting;
D O I:
10.1016/j.ijforecast.2007.07.002
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
Looking ahead thirty years is a difficult task, but is not impossible. In this paper we illustrate how to evaluate such long-term forecasts. Long-term forecasting is likely to be dominated by trend curves, particularly the simple linear and exponential trends. However, there will certainly be breaks in their parameter values at some unknown points, so that eventually the forecasts will be unsatisfactory. We investigate whether or not simple methods of long-run forecasting can ever be successful, after one takes into account the uncertainty level associated with the forecasts. (c) 2007 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.
机构:
SISU, Shanghai, Peoples R ChinaRussian Acad Sci, CEMI, Moscow, Russia
Hua, Luo
Jie, Wu
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机构:
Guangzhou Milestone Software Co Ltd, Guangzhou, Peoples R China
CASS, Ctr Econ & Social Integrat & Forecasting, Beijing, Peoples R China
GuangDong Acad Social Sci, Guangzhou, Peoples R ChinaRussian Acad Sci, CEMI, Moscow, Russia
Jie, Wu
Wu Zili
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机构:
Guangzhou Milestone Software Co Ltd, Guangzhou, Peoples R ChinaRussian Acad Sci, CEMI, Moscow, Russia
Wu Zili
Sidorenko, M. Yu.
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h-index: 0
机构:
State Acad Univ Humanities GAUGN, Moscow, Russia
GAUGN Dept Sci Publicat, Moscow, RussiaRussian Acad Sci, CEMI, Moscow, Russia