Fiscal Policy in a Currency Union at the Zero Lower Bound
Bibliographic record
Abstract
Abstract This paper constructs a two‐country core–periphery New Keynesian model of a currency union to address the interaction between the objectives of regionally directed fiscal policy constrained by a single currency and the aggregate use of fiscal policy in face of the zero lower bound (ZLB) on policy interest rates. We identify an optimal path of aggregate and relative fiscal policy responses to a negative region‐specific demand shock. Our results show that (i) in a monetary union, the optimal policy response to an asymmetric reduction in demand concentrated in the periphery always entails a relative shift of fiscal expenditure toward the worse‐affected regions, (ii) though no aggregate fiscal response is required outside the ZLB, and (iii) optimal union‐wide fiscal policy is expansionary at the ZLB. Therefore, optimal policy always entails an expansion in the periphery at the ZLB, but the optimal fiscal response in the core regions can be either expansionary or contractionary depending on the parameters of the model. However, (iv) fiscal expansion in the core is warranted if the periphery cannot implement an expansion due to constraints on public spending.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".