Examining the Impact of Baumol’s Cost Disease in Brazilian Municipal Education: A Decade Analysis (2009-2019)
Bibliographic record
Abstract
This paper examines the phenomenon known as Baumol’s cost disease within the Brazilian educational sector between 2009 and 2019, marked by substantial changes in teacher salaries and student-teacher ratios. Baumol’s cost disease describes the rise in salaries despite low productivity growth in sectors that do not benefit substantially from technological improvements. In education, salaries increased by establishing a national wage floor and decreasing student-teacher ratios. The study adapts Baumol’s model to the modern educational context, analysing the correlation between teacher remuneration and productivity and incorporating contemporary economic and policy dynamics. The findings indicate that, contrary to the theoretical expectation of a U-shaped curve for per capita educational spending, costs per student tend to decrease with the increase in municipal population size, with an exception observed in the largest cities. This paper contributes to the understanding of public spending on education in Brazil, highlighting the need for differentiated policy approaches to manage escalating costs in smaller municipalities and ensure equitable education quality across different municipal sizes.
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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 | 0.000 |
| 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) | 0.000 | 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".