Investigating the Effects of Migrant Remittances on the Economic Growth of Cameroon
Bibliographic record
Abstract
Low and unsteady economic growth rates and strategies for fostering growth are major issues of concern for Cameroon. The paper attempted to investigate the effects of remittances on the economic growth of Cameroon. To achieve the objective for a clearer understanding of the dynamics of migrant remittances in relation to economic growth in Cameroon, the least squares method of multiples regression was exploited to analysze data collected from 1980 to 2013. The results revealed that migrant remittances to the tune of 1.5% positively but insignificantly explained economic growth in Cameroon.Further, consumption expenditure; government expenditure and exports were found to positively but significantly explain growth while investment expenditure was found to positively but insignificantly determine growth. Only imports alone stood to negatively and significantly influence economic growth in Cameroon.The value of R-squared Adjusted showed that 85% of variation in GDP was explained by variations in the independent variables specified in the model. Therefore, any policy measure aimed at improving upon the level of economic growth in Cameroon must give consideration to migrant remittances.
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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 | 0.000 |
| Open science | 0.001 | 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".