Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9548660 | Economic Modelling | 2005 | 20 Pages |
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.
Related Topics
Social Sciences and Humanities
Economics, Econometrics and Finance
Economics and Econometrics
Authors
Peter McAdam, Paul McNelis,