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2020 ◽  
Vol 13 (3) ◽  
pp. 44
Author(s):  
Philip Hans Franses ◽  
Max Welz

Professional forecasters can rely on an econometric model to create their forecasts. It is usually unknown to what extent they adjust an econometric model-based forecast. In this paper we show, while making just two simple assumptions, that it is possible to estimate the persistence and variance of the deviation of their forecasts from forecasts from an econometric model. A key feature of the data that facilitates our estimates is that we have forecast updates for the same forecast target. An illustration to consensus forecasters who give forecasts for GDP growth, inflation and unemployment for a range of countries and years suggests that the more a forecaster deviates from a prediction from an econometric model, the less accurate are the forecasts.


2019 ◽  
Vol 135 ◽  
pp. 53-66
Author(s):  
Pingping Feng ◽  
Feng Wu ◽  
Richard Y.K. Fung ◽  
Tao Jia ◽  
Wei Zong

2019 ◽  
Vol 51 (12) ◽  
pp. 1402-1436
Author(s):  
Meimei Zheng ◽  
Masha Shunko ◽  
Nagesh Gavirneni ◽  
Yan Shu ◽  
Kan Wu

2018 ◽  
Vol 206 ◽  
pp. 196-208 ◽  
Author(s):  
Bin Zhang ◽  
Dongxia Duan ◽  
Yurui Ma

Author(s):  
François Alex Bourque ◽  
Raffaele Grasso ◽  
Raúl Vicen Bueno ◽  
Giampaolo Cimino ◽  
Paolo Braca ◽  
...  

Author(s):  
Giampaolo Cimino ◽  
Raúl Vicen Bueno ◽  
François Alex Bourque ◽  
Raffaele Grasso ◽  
Paolo Braca ◽  
...  

2016 ◽  
Vol 54 (17) ◽  
pp. 5236-5249 ◽  
Author(s):  
Alain Bensoussan ◽  
Qi Feng ◽  
Sirong Luo ◽  
Suresh P. Sethi

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