Human capital accumulation and endogenous public expenditures
Bibliographic record
Abstract
In this paper, we present an overlapping‐generations model, where individuals accumulate human capital through formal schooling. We model the role of the public sector in schooling as one of collecting taxes from households and providing inputs to the learning technology. Public expenditures on schools are determined endogenously. Under plausible restrictions, our model's predictions qualitatively match the observations on schooling, public expenditures on education, and student‐teacher ratios. JEL Classification: E13, E62. Accumulation de capital humain et dépenses publiques endogènes. Dans ce mémoire, les auteurs présentent un modèle de générations qui se chevauchent où les individus accumulent du capital humain via l'éducation formelle. Le rôle du secteur public dans l'éducation est défini comme celui de collecteur d'impôts auprès des ménages et de fournisseur d'intrants dans la technologie d'apprentissage. Les dépenses publiques en éducation sont déterminées de manière endogène. A partir de restrictions plausibles, les prédictions du modèle s'arriment qualitativement aux observations sur le monde scolaire, aux dépenses publiques en éducation, et aux ratios élèves/enseignants.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".