Aid and economic growth: Sensitivity analysis
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Bibliographic record
Abstract
Abstract This paper uses panel data from 77 developing countries, two measures of aid, and a dynamic panel data (DPD) estimator to investigate the effects of aid on economic growth. We find that the relationship between income growth and aid is quadratic in nature. We find a negative partial growth effect of aid at low levels of aid but a positive effect when the ratio of aid to gross national income (GNI) reaches a threshold of between 6.6 and 14.4per cent. We find a positive and significant relationship between aid and physical capital investment. Accounting for indirect effects through investment, we find a positive growth effect at all levels of aid. These results are robust to the measurement of aid, the policy environment, income levels and region. Our results differ from much of the earlier research but are consistent with research that calls for increased aid to developing countries. Copyright © 2010 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 | 0.002 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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