Bullying among Adolescents: The Role of Cognitive and Non-Cognitive Skills
Bibliographic record
Abstract
Bullying is a behavioral phenomenon that has received increasing attention in recent times. This paper uses a structural model with latent skills and longitudinal information from Korean youths to identify the determinants and effects of bullying. We find that, unlike cognitive skills, non-cognitive skills significantly reduce the chances of being bullied during high school. We use the model to estimate average treatment effects of being bullied at age 15 on several outcomes measured at age 18. We show that bullying is very costly. It increases the probability of smoking as well as the likelihood of feeling sick, depressed, stressed and unsatisfied with life. It also reduces college enrollment and increases the dislike of school. We document that differences in non-cognitive and cognitive skill endowments palliate or exacerbate these consequences. Finally, we explore whether investing in non-cognitive skills could reduce the occurrence of bullying. Our findings indicate that the investment in skill development is key in any policy intended to fight the behavior.
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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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".