El salario mínimo y el desempleo: un análisis empírico para el caso español
Bibliographic record
Abstract
El objetivo de este trabajo es analizar la relación entre el salario mínimo y el desempleo en España, \ny su evolución temporal entre 1978 y 2019. Para ello se realiza primero un análisis descriptivo en el \nque encontramos que existe una correlación muy baja entre el salario mínimo y la tasa de paro. \nAdemás, esta relación no cambia sustancialmente cuando controlamos por el sexo, la edad, tipo de \nactividad y región de los trabajadores. Para el subperiodo 2008-2017, por el contrario, se observa \nuna clara relación negativa entre estas variables. Seguidamente, se estima un panel para explicar la \ntasa de paro por regiones entre 2000-2018. Los resultados muestran que el salario mínimo tiene un \nfuerte efecto negativo en la tasa de paro y que el PIB per cápita es la variable explicativa más \nsignificativa. Finalmente, se comprueba que estos resultados son robustos a varias especificaciones \ndel modelo y varios controles
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.025 | 0.001 |
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; both teacher heads agree on what is shown here.
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".