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Record W3123923117

Fiscal Risk in a Monetary Union

2008· preprint· en· W3123923117 on OpenAlexaff
Betty C. Daniel, Christos Shiamptanis

Bibliographic record

VenueRePEc: Research Papers in Economics · 2008
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policies and Political Economy
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsFiscal unionFiscal policyEconomicsMaastricht TreatyDebtMonetary economicsMonetary policyEuropean debt crisisInsolvencyGovernment debtEuropean unionMacroeconomicsEconomic policyInternational economicsFinanceEuropean integration
DOInot available

Abstract

fetched live from OpenAlex

A country entering a monetary union gives up the right to determine its own monetary policy. Individual …scal authorities promise passive …scal 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 …scal insolvency. When there is an upper bound on the magnitude of the surplus and stochastic shocks to the surplus, a government can …nd itself in a position in which it cannot borrow to continue with its desired passive …scal policy. This paper considers the risk of a …scal …nancial crisis in a monetary union under alternative assumptions about how the …scal authority would respond. The response a¤ects the timing and probability of a crisis. We consider both outright default and policy switching, whereby the …scal authority in crisis switches to active …scal policy and the monetary authority switches to passive monetary policy. We apply the model to estimate …scal 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 …scal risk under the two alternative …scal responses to a crisis. We …nd 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.440
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.041
GPT teacher head0.280
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2008
Admission routes1
Has abstractyes

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