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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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; a candidate call from one source (direct Gemma or distilled Codex), 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".