Relative wages and education premium in Tijuana: 1987-1996
Bibliographic record
Abstract
Abstract Over the last 20 years Mexico has experienced rapid economic reforms which have impacted labor markets and, in particular, relative wages. Based on the fact that these changes have had a differential impact on different industries and different regions of the country, we explore changes in relative wages from 1987 to 1996 in the border city of Tijuana. Using wage regressions for different sections of Tijuana's labor market we find that skill premiums increased during this period. However, comparing results with those for Mexico City, we found that the increase in skill (education) premiums for high‐skilled workers in Tijuana is systematically smaller across industries. It seems, thus, that modernization has not radically changed the labor‐intensive nature of industrialization in Tijuana. It has increased the demand for skilled workers, but it has not done so either at the pace or at the level of Mexico City.
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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 | 0.000 | 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 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".