## Abstract This paper examines the problem of forecasting macro‐variables which are observed monthly (or quarterly) and result from geographical and sectorial aggregation. The aim is to formulate a methodology whereby all relevant information gathered in this context could provide more accurate fo
A markup model for forecasting inflation for the euro area
✍ Scribed by Bill Russell; Anindya Banerjee
- Publisher
- John Wiley and Sons
- Year
- 2006
- Tongue
- English
- Weight
- 296 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0277-6693
- DOI
- 10.1002/for.1000
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
We develop a small model for forecasting inflation for the euro area using quarterly data over the period June 1973 to March 1999. The model is used to provide inflation forecasts from June 1999 to March 2002. We compare the forecasts from our model with those derived from six competing forecasting models, including autoregressions, vector autoregressions and Phillips‐curve based models. A considerable gain in forecasting performance is demonstrated using a relative root mean squared error criterion and the Diebold–Mariano test to make forecast comparisons. Copyright © 2006 John Wiley & Sons, Ltd.
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