Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/154112
Authors: 
Kenny, Geoff
Kostka, Thomas
Masera, Federico
Year of Publication: 
2014
Series/Report no.: 
ECB Working Paper 1679
Abstract: 
In this paper, we exploit micro data from the ECB Survey of Professional Forecasters (SPF) to examine the link between the characteristics of macroeconomic density forecasts (such as their location, spread, skewness and tail risk) and density forecast performance. Controlling for the effects of common macroeconomic shocks, we apply cross-sectional and fixed effect panel regressions linking such density characteristics and density forecast performance. Our empirical results suggest that many macroeconomic experts could systematically improve their density performance by correcting a downward bias in their variances. Aside from this shortcoming in second moment characteristics of the individual densities, other higher moment features, such as skewness or variation in the degree of probability mass given to the tails of the predictive distributions tend - as a rule - not to contribute significantly to enhancing individual density forecast performance.
Subjects: 
density forecasting
forecast evaluation
panel data
Survey of Professional Forecasters
JEL: 
C22
C53
Document Type: 
Working Paper

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