Revisiting Okun’s Law in European Union countries
Why this work is in the frame
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Bibliographic record
Abstract
Purpose – The purpose of this paper is to examine Okun’s Law in European countries by distinguishing between the transitory and the permanent effects of output changes upon unemployment and by examining the effect of labor market protection policies upon Okun’s coefficients. Design/methodology/approach – Quarterly data for 13 European Union countries, from the second quarter of 1993 until the first quarter of 2014, are used. Panel data techniques and Mundlak decomposition models are estimated. Findings – Okun’s Law is robust to alternative specifications. The effect of output changes to unemployment rates is weaker for countries with increased labor market protection expenditures and it is more persistent for countries with low labor market protection. Originality/value – The paper provides evidence that the permanent effect of output changes upon unemployment rates is quantitatively larger than the transitory impact. In addition, it provides evidence that increased labor market protection mitigates the adverse effects of a decrease in output growth rate upon unemployment.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 | 0.001 |
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 it