Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/152786
Authors: 
McNelis, Paul
McAdam, Peter
Year of Publication: 
2004
Series/Report no.: 
ECB Working Paper 352
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

Files in This Item:
File
Size
714.51 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.