Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/152786 
Year of Publication: 
2004
Series/Report no.: 
ECB Working Paper No. 352
Publisher: 
European Central Bank (ECB), Frankfurt a. M.
Abstract: 
This paper applies linear and neural network-based “thick” models for forecasting inflation based on Phillips–curve formulations in the USA, Japan and the euro area. Thick models represent “trimmed mean” forecasts from several neural network models. They outperform the best performing linear models for “real-time” and “bootstrap” forecasts for service indices for the euro area, and do well, sometimes better, for the more general consumer and producer price indices across a variety of countries.
Subjects: 
bootstrap
Neural Networks
Phillips Curves
real-time forecasting
Thick Models
JEL: 
C12
E31
Document Type: 
Working Paper

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