The impact of increasing the minimum legal age for work on school attendance in low- and middle-income countries
Bibliographic record
Abstract
Several countries have increased their legal minimum age for work in line with international conventions on child labor. We evaluated the effect of increasing the legal minimum age for work on school attendance in 3 low- and middle-income countries using difference-in-differences analyses. Increasing the legal minimum age for work increased school attendance by 3.0 (0.2, 5.8) percentage-points in Malawi, and 2.0 (0.2, 3.6) percentage-points in Colombia. In Malawi, we found a greater policy effect among girls compared to boys. In Colombia, the poorest tercile experienced the greatest improvement in educational outcomes. We found no evidence of an impact of increasing the legal minimum age for work on school attendance in Burkina Faso. Our findings suggest that increasing the legal minimum age for work has had a positive effect on educational outcomes in some low and middle income countries.
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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 | 0.002 | 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 | 0.001 | 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) | 0.000 | 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".