El efecto del comercio y de la inversión extranjera directa sobre los diferenciales de salario inter-industriales: el caso de México
Bibliographic record
Abstract
Taking advantage of the liberalization process under NAFTA, this paper assesses the relative importance of the degree of trade openness and Foreign Direct Investment (FDI) in explaining inter-industry wage differentials for the case of Mexico. Using INEGI's National Survey of Urban Employment for the period 1994-2004, the empirical analysis is conducted on two stages. In the first stage, individual wages are regressed on worker characteristics, job and firm attributes, informality and a set of industry indicators. In the second stage, interindustry wage differentials (derived from the coefficient estimates of the industry indicators) are regressed on trade and FDI variables. The main findings show that trade openness does not have a robust and statistically significant effect on inter-industry wage differentials, whereas for the case of FDI, a positive nonlinear relationship is found to exist.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 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".