Abstract
This work marks a thorough analysis of a confidential real-time dataset consisting of the Eurosystem/ECB staff macroeconomic projections since their existence. By applying techniques widely employed in the literature of forecast evaluation, we examine their statistical properties with a special emphasis on optimality and rationality. Long-term GDP projections are biased (tendency to overpredict), do not fully account for available information, and are outperformed by private sector expectations. Inflation projections are optimal and rational on a full-sample analysis; however, subsample analysis reveals two distinct periods with a persistent and significant bias. Before the financial crisis inflation was persistently underpredicted, while in post-2013, the bias reverses into overprediction.
Original language | English |
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Pages (from-to) | 213-229 |
Number of pages | 17 |
Journal | Journal of Forecasting |
Volume | 41 |
Issue number | 2 |
Early online date | 22 Jul 2021 |
DOIs | |
Publication status | Published - 31 Mar 2022 |
Keywords
- management science and operations research
- strategy and management
- statistics, probability and uncertainty
- modelling and simulation
- computer science applications