Does Financial Liberalization and Investment Rate Affect Financial Development in Cameroon?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study investigates the key determining factors of financial development using Cameroons time series data from 1977 to 2010. After over-viewing the financial market and financial development in Cameroon and exploring some relevant literature, the study specifies and estimates long- and short-run functions for financial development using co-integration and error correction techniques. Financial liberalization, Gross investment rate, GDP growth rate, inflation rate and government spending appear to significantly influence the level of credit to the private sector in Cameroon. Gross investment rate significantly promotes financial development in the long- and short run whereas financial liberalization significantly contributes to private credit only in the short run. These results suggest that the efficiency of the financial sector in allocating credit to the private sector could be enhanced by encouraging gross investment in the short and long run and equally by liberalising the financial sector in the short run.
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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 | 0.000 | 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) | 0.000 | 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 it