The Covid-19 Recession in Germany: A Macro-Epidemiological Analysis
Why this work is in the frame
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Bibliographic record
Abstract
What is the contribution of containment policies to output fluctuations in Germany during the COVID-19 pandemic? We extend a macro-epidemiological model based on the evidence that efficiency and labor wedges are the key distortions in the neoclassical growth model that account for the GDP dynamics during the period. We find that the consumption and labor-supply effects of containment policies and the endogenous responses of households to pandemic-associated health risks can account for almost all weekly dynamics of output in Germany between the first quarter of 2020 and the second quarter of 2021. The containment policies are found to be responsible for especially large output losses during the pandemic, but the endogenous household responses appear to play an important complementary role. We simulate a counterfactual, laissez-faire type of response to the pandemic and find that not only would it not have avoided a sizeable recession either, but it would also lead to substantially higher losses in human life and stress on the German health service.
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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 | 0.002 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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