Education mismatch and qualification mismatch: monetary and non-monetary consequences for workers
Why this work is in the frame
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Bibliographic record
Abstract
Using Spanish data from European Union Household Panel Survey corresponding to 2001, we find that the incidence and the consequences, monetary and non-monetary, are different for the job-worker qualification and education mismatches. In fact, only 36% of workers have the same type of fit under both criterions of classification. Additionally, the qualification mismatches have worse consequences for workers than education mismatches. Specifically, the monetary consequences are neutrals for overqualified workers, but negatives for underqualified workers, while the wage of educational mismatched workers is not significantly different of those who have similar characteristics and are accurately match in terms of formal education. However, the overeducated workers earn higher wages than their well-matched co-workers and the wage penalization for one year of undereducation is lower than the reward for one year of required education. On the other hand, the analysis of the non-monetary consequences, by means of job satisfaction, shows that the qualification mismatched workers have lower probability of being completely satisfied than those who are accurately match in terms of qualification, while the effects of education mismatch situations on job satisfaction are no significant. However, among similar jobs, the years of educational mismatch can have an effect even positive on job satisfaction.
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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 | 0.000 | 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 it