Bibliographic record
Abstract
A country entering the EMU surrenders its monetary policy, and its debt becomes denominated in terms of a currency over which it has no direct control. A country's promise to uphold the fiscal limits in the Maastricht Treaty and the Stability and Growth Pact is implicitly a promise not to allow its fiscal stance to deteriorate to a position in which it places pressure on the central bank to forgo its price level target to finance fiscal deficits. Violation of these limits has raised questions about potential fiscal encroachment on the monetary authority's freedom to determine the price level. We specify a simple model of fiscal policy in which the fiscal authority faces an upper bound on the size of its primary surplus. Policy is determined by a fiscal rule, specified as an error correction model, in which the primary surplus responds to debt and a target variable. We show that for the monetary authority to have the freedom to control price, the primary surplus must respond strongly enough to lagged debt. Using panel techniques that allow for unit roots and for heterogeneity and cross-sectional dependence across countries, we estimate the coefficients of the error correction model for the primary surplus in a panel of ten EMU countries over the period 1970-2006. The group mean estimate for the coefficient on lagged debt is consistent with the hypothesis that the monetary authority can control the price level in the EMU, independent of fiscal influence.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".