EFFECTS OF EXTENDED UNEMPLOYMENT INSURANCE BENEFITS ON LABOR DYNAMICS
Why this work is in the frame
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Bibliographic record
Abstract
We calculate that the extension of unemployment insurance benefits during downturns has significantly increased the variability of unemployment and vacancies in the United States. Taking this into account reduces the value of leisure necessary to match the wide labor market business cycles experienced in the United States using the Mortensen--Pissarides model. For this calculation, we analyze a version of the model where unemployment insurance benefits not only expire but must be earned with prior employment. With these features, we can calibrate the model to be consistent with unemployment responding strongly to productivity shocks and mildly to changes in unemployment insurance policies. Our preferred calibration predicts that the standard deviation of unemployment since 1945 would have fallen by around 37% if there had not been programs extending unemployment benefits during recessions. We also find that the enactment of the Emergency Unemployment Compensation program in 2008 increased the unemployment rate by 0.5 percentage points.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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