FORECASTING OUTPUT WITH THE COMPOSITE LEADING INDEX - A REAL-TIME ANALYSIS

被引:153
作者
DIEBOLD, FX [1 ]
RUDEBUSCH, GD [1 ]
机构
[1] FED RESERVE BOARD, DIV RES & STAT, WASHINGTON, DC 20551 USA
关键词
CAUSALITY; EVALUATION; PREDICTION;
D O I
10.2307/2290388
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We examine the ability of the composite index of leading economic indicators to predict future movements in aggregate economic activity. Previous examinations of predictive performance have evaluated either the in-sample residual errors from a forecasting equation fitted to the entire sample of data or the out-of-sample forecast errors from an equation fitted to a subsample of the data. Unlike previous evaluations, we perform a real-time analysis, which uses the provisional and partially revised data for the leading index that were actually available historically, along with recursive out-of-sample forecasts. We find a substantial deterioration of forecasting performance in the real-time framework.
引用
收藏
页码:603 / 610
页数:8
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