A simple recursive forecasting model

被引：130
作者：
Branch, William A.
Evans, George W.
机构：
[1] Univ Oregon, Dept Econ, Eugene, OR 97403 USA
[2] Univ Calif Irvine, Irvine, CA 92717 USA
来源：
ECONOMICS LETTERS | 2006年 / 91卷 / 02期
关键词：
constant gain; recursive learning; expectations;
D O I：
10.1016/j.econlet.2005.09.005
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
We compare the performance of alternative recursive forecasting models. A simple constant gain algorithm, used widely in the learning literature, both forecasts well out of sample and also provides the best fit to the Survey of Professional Forecasters. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码：158 / 166
页数：9
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