Conditions Monetaires Et Croissance Economique En Zone Cemac
Bibliographic record
Abstract
The objective of this study is to track the monetary policy stance in CEMAC zone with GDP as target variable using a real size. The construction of reel monetary condition index use heterogeneous macropanels VAR approach with individual specification proposed par Fabio and al (2013). The inter-individual cointégration test confirm the long term relationship between GDP, real short run interest rate, real effective exchange rate and credit to economy making possible the combination of those instruments to forecast growth. But the result of intraindividual cointegration remains lukewarm compromising the possibility to combine the instruments above-mentioned in a single synthetic indicator for each country in CEMAC zone. The estimation of model parameters has been done through pooled mean group in Blackburn and Fran (2007) way. The construction of real ICM uses Canada Bank approach. One finds that real ICM is determined mainly by real effective exchange rate, then credit to economy and lastly the real short run interest rate. The construction of ICM must be included among the large range of indicators used by central bank to forecast growth in CEMAC zone.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".