Regulation and performance of microfinance institutions within the West African Economic and Monetary Union
Bibliographic record
Abstract
This study assesses the performance of microfinance institutions (MFIs) in the West African Economic and Monetary Union (WAEMU) following changes in regulation in 2007, including the adoption of prudential capital and liquidity ratios. Analyses of data for the period 2002-2015 show that the 2007 law has had a global negative impact on financial performance, presumably due to the costs and constraints of implementation and the respect of all its provisions. The marginal effect of the minimum capital and the minimum liquidity requirements on financial performance was positive. The impact of regulation on social performance was positive, with a decreasing marginal effect for capital and liquidity. Overall, the net effect of the law on social performance was weakly positive. These results call regulators to avoid a ‘‘one size fits all’’ policy for MFIs in the WAEMU.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".