Do Economic Reforms Spur Bancarisation Rate in the CEMAC Region? Empirical Analysis
Bibliographic record
Abstract
<p>The aim of this paper is to empirically analyze the effect of the economic reforms on the bancarisation rate in the Central Africa Economic and Monetary Community (CEMAC). Data of six countries from the sub-region from 2001 to 2011 was used in a generalized method of moment (GMM) modeling framework. The following results are obtained: Financial liberalization has facilitated the opening of bank accounts. The opening of bank accounts demand is an increasing function of Gross Domestic Product per capita. The literacy rate contributes to the improvement of financial and banking services. Public and private infrastructures promote decentralization and delocalization of the banking network to smaller cities and rural areas. Institutional reforms work best for increasing the bancarisation rate where financial and banking activities are weak. So, the economic policy to be implemented is to continue the economic and financial reforms and ameliorate the quality of the institutions in the CEMAC region.</p>
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".