Aid and growth in Sub‐Saharan Africa: accounting for transmission mechanisms
Why this work is in the frame
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Bibliographic record
Abstract
Abstract This paper is a contribution to the literature on aid and growth. Despite an extensive empirical literature in this area, existing studies have not addressed directly the mechanisms via which aid should affect growth. We identify investment as the most significant transmission mechanism, and also consider effects through financing imports and government consumption spending. With the use of residual generated regressors, we achieve a measure of the total effect of aid on growth, accounting for the effect via investment. Pooled panel results for a sample of 25 Sub‐Saharan African countries over the period 1970 to 1997 point to a significant positive effect of foreign aid on growth, ceteris paribus. On average, each one percentage point increase in the aid/GNP ratio contributes one‐quarter of one percentage point to the growth rate. Africa's poor growth record should not therefore be attributed to aid ineffectiveness. Copyright © 2005 John Wiley & Sons, Ltd.
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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 | 0.001 | 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 | 0.001 |
| 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