LABOR CONTRACTS AND FLEXIBILITY: EVIDENCE FROM A LABOR MARKET REFORM IN SPAIN
Bibliographic record
Abstract
This paper evaluates the effects of a labor market reform in Spain that removed restrictions on fixed‐term or temporary contracts. Our empirical results are based on longitudinal firm‐level data that cover observations before and after the reform. We posit and estimate a dynamic labor demand model with indefinite and fixed‐term labor contracts, and a general structure of labor adjustment costs. Experiments using the estimated model show important positive effects of the reform on total employment (i.e., a 3.5% increase) and job turnover. There is a strong substitution of permanent by temporary workers (i.e., a 10% decline in permanent employment). The effects on labor productivity and the value of firms are very small. In contrast, a counterfactual reform that halved all firing costs would produce the same employment increase as the actual reform, but much larger improvements in productivity and in the value of firms. (JEL J23, J32, J41)
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".