Are the Forecasts of Professionals Compatible with the Taylor Rule? Evidence from the Euro Area
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Bibliographic record
Abstract
Abstract This article examines if professional forecasters form their expectations regarding the policy rate of the European Central Bank (ECB) consistent with the Taylor rule. In doing so, we assess micro-level data including individual forecasts for the ECB main refinancing operations rate as well as inflation and gross domestic product (GDP) growth for the Euro Area. Our results indicate that professionals indeed form their expectations in line with the Taylor rule. However, this connection has diminished over time, especially after the policy rate hit the zero lower bound. In addition, we also find a relationship between forecasters’ disagreement regarding the policy rate of the ECB and disagreement on future GDP growth, which disappears when controlling for monetary policy shocks proxied by changes in the policy rate in the quarter the forecasts are made.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it