Bibliographic record
Abstract
A country entering a monetary union gives up the right to determine its own monetary policy. Individual fiscal authorities promise passive fiscal policy, allowing the central monetary authority to use active monetary policy. Since a government, which can print its own money, can honor its nominal debt unconditionally, entrance into a monetary union raises new issues of potential fiscal insolvency. When there is an upper bound on the magnitude of the surplus and stochastic shocks to the surplus, a government can find itself in a position in which it cannot borrow to continue with its desired passive fiscal policy. This paper considers the risk of a fiscal financial crisis in a monetary union under alternative assumptions about how the fiscal authority would respond. The response affects the timing and probability of a crisis. We consider both outright default and policy switching, whereby the fiscal authority in crisis switches to active fiscal policy and the monetary authority switches to passive monetary policy. We apply the model to estimate fiscal risk in the European Monetary Union. Using panel estimates of the parameters in the surplus rule and initial values for government debt and the primary surplus, we simulate fiscal risk under the two alternative fiscal responses to a crisis. We find that countries with initial values bound by the Maastricht Treaty limits are safe, while countries like Italy and Greece, in which debt has strayed far above these limits, might not be.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 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".