Réformes financières et formation des taux d’intérêt en Afrique Centrale : une approche à travers le modèle DSGE
Bibliographic record
Abstract
We focus on current or future financials reforms impacts on the formation of interest rates in Central Africa. These reforms aim to restore the efficient operation of the interest rate channel and to revitalize credit channels and asset prices through the development of the financial system and the abandonment of the principle of double intervention by the central bank. For this purpose, we have built a CEMAC DSGE model with a financial accelerator phenomenon on the credit demand side and a collateral constraint on the supply side. The simulations carried out on the intensification of the financial inclusion of firms and households, the collateral reform and the quality of information show an improvement of: (i) banking relay of monetary impulses on the interbank market; (ii) the central bank's reaction to different shocks and; (iii) the response of costs and returns of financial assets to these shocks. However, the disconnection of the variables from the real sphere to the monetary impulses ultimately raises the need for a financial education strategy, beyond the problem of the fragmentation of the money market that needs to be addressed.
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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 | 0.001 | 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 | 0.000 |
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 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".