The intergenerational effect of tuition-free lower-secondary education on children’s nutritional outcomes in Africa
Bibliographic record
Abstract
One in five child deaths under age 5 are a result of severe wasting. Malnutrition at early ages is linked to lifelong consequences, such as reduced cognitive skills, reduced earnings in adulthood and chronic health conditions. Countries worldwide have committed to addressing child undernutrition, and ending hunger is foundational to the Millennium Development Goals. In this paper, we study the intergenerational effect of providing free tuition in secondary school on future children's nutrition. We combined a novel longitudinal dataset that captures educational policies for 40 African countries from 1990 to 2019 with the Demographic and Health Survey (DHS). We identified three countries that introduced free secondary education several years after implementing free primary education. Exploiting this variation in timing we estimate the additional impact of providing free secondary education over free primary education. Using a difference-in-difference approach, we find that introducing free secondary education significantly reduced wasting. Cohorts exposed to free secondary had an 18% relative decrease in wasting. The impact on cohorts exposed only to free primary was smaller and not statistically significant. Expanding free secondary education has long-term, intergenerational benefits and is an effective path to reducing malnutrition. Results are robust to different specifications.
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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 | 0.001 |
| 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) | 0.000 | 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".