Using Entropic Tilting to Combine BVAR Forecasts With External Nowcasts

被引:24
作者
Krueger, Fabian [1 ]
Clark, Todd E. [2 ]
Ravazzolo, Francesco [3 ,4 ]
机构
[1] Heidelberg Inst Theoret Studies, Computat Stat Grp, D-69118 Heidelberg, Germany
[2] Fed Reserve Bank Cleveland, Econ Res Dept, POB 6387, Cleveland, OH 44101 USA
[3] Norges Bank, Bankplassen 2, N-0267 Oslo, Norway
[4] BI Norwegian Business Sch, Bankplassen 2, N-0267 Oslo, Norway
关键词
Bayesian analysis; Forecasting; Prediction; PREDICTION; UNCERTAINTY; INFLATION; INFERENCE; MODEL;
D O I
10.1080/07350015.2015.1087856
中图分类号
F [经济];
学科分类号
02 ;
摘要
This article shows entropic tilting to be a flexible and powerful tool for combining medium-term forecasts from BVARs with short-term forecasts from other sources (nowcasts from either surveys or other models). Tilting systematically improves the accuracy of both point and density forecasts, and tilting the BVAR forecasts based on nowcast means and variances yields slightly greater gains in density accuracy than does just tilting based on the nowcast means. Hence, entropic tilting can offermore so for persistent variables than not-persistent variablessome benefits for accurately estimating the uncertainty of multi-step forecasts that incorporate nowcast information.
引用
收藏
页码:470 / 485
页数:16
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