The Effect of Minimum Wage Level on Labor Efficency: An Analysis on OECD Countries
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Bibliographic record
Abstract
In this study, the effect of the changes in the minimum wage on the labor productivity is analyzed in the countrieswhere the minimum wage, which is the minimal payment in exchange for the labor, is determined by the legal authorities.Australia, Belgium, Canada, Czech Republic, France, Greece, Netherlands, Spain, Japan and the United States are in the listof the High Income Countries and Turkey and Hungary are in the list of Upper and Middle-Income Countries of the WorldBank, which are the subjects of the current study. By using the minimum wage and labor productivity data of the yearsbetween 1995 and 2011, the estimations are made by panel data analysis method. As a result of the analysis, it wasdetermined that the changes in the minimum wage had statistically significant effects on the labor productivity. 
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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