Cost–benefit analysis of a micronutrient supplementation and early childhood stimulation program in Nicaragua
Bibliographic record
Abstract
This paper estimates the cost-benefit ratio for an integrated early childhood development program in Nicaragua (PAININ). Using longitudinal data, we estimate the average treatment effects of PAININ including micronutrient sprinkles on the prevalence of anemia and hemoglobin levels among disadvantaged children aged 6-36 months. We also estimate the effects of PAININ excluding sprinkles on cognitive outcomes among children aged 2.5-5 years. In the younger age group the program reduced anemia by 4 percentage points after 8 months and nearly 6 percentage points after 1 year; the latter is a 26% decrease in anemia. In the older age group, the program improved verbal and numeric memory after a year and a half, but the effects were modest (0.13 SD). When analyzing its potential impact on earnings, we conclude that the discounted annual costs of the program per child are less than the discounted annual increase in beneficiary earnings. Specifically, we estimate a cost-benefit ratio of 1.50 from the PAININ plus sprinkles package. Our sensitivity analysis suggests a range for this ratio between 1.30 and 2.30.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".