¿Es relevante la acreditación universitaria?: Impacto de los procesos de acreditación institucional en el salario de los graduados universitarios en Colombia
Bibliographic record
Abstract
The study examines the impact of institutional university accreditation in Colombia, granted by the Consejo Nacional de Acreditación (CNA ), on the salaries of graduates from undergraduate programs. Employing a differences-in-differences event study approach, it draws on data from the Saber-Pro exams, accreditation reports from the Ministry of National Education, and information from the Labor Observatory for Education in Colombia, covering the period from 2012 to 2015. The findings are consistent, robust, and statistically indistinguishable from zero regarding the effect of accreditation on graduate salaries. This study offers two key contributions: (i) it provides no empirical evidence supporting the signaling effect of university accreditation in the labor market, and (ii) it addresses the limi-tations of external validity present in previous research on higher education returns in Colombia.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".