Monnaies nationales ou régionales et réduction de la pauvreté en Afrique
Bibliographic record
Abstract
L’Afrique offre la possibilité d’étudier les conséquences du choix entre une monnaie nationale et une monnaie commune à plusieurs États. L’impact de ce choix sur la réduction de la pauvreté est l’objet de cet article. A partir d’une analyse économétrique, utilisant la base de données PovcalNet de la Banque mondiale, l’article montre que l’élasticité de la pauvreté à la croissance du revenu par tête, supérieure à l’unité dans les Unions monétaires (UEMOA et CEMAC), est plus forte qu’ailleurs en Afrique. Autrement dit, en période de croissance économique, celle-ci est plus inclusive dans les Unions. Cette différence est due à une moindre inflation, caractéristique des Unions monétaires. Codes JEL: D31, E42, F02.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".