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Record W3125862848

Mundell Revisited: A simple approach to the Costs and Benefits of a Single Currency Area

2000· preprint· en· W3125862848 on OpenAlexaff
Stephen Ching, Michael B. Devereux

Bibliographic record

VenueRePEc: Research Papers in Economics · 2000
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEconomicsCurrencySingle currencyWelfareMonetary economicsExchange rateArgument (complex analysis)Consumption (sociology)Capital (architecture)Foreign exchange risk
DOInot available

Abstract

fetched live from OpenAlex

This paper develops an analytical model to evaluate the costs and benefits of a single currency area within a unified framework, inspired by the separate arguments of Mundell (1961) and (1973). The more familiar argument is that, in the presence of country-specific shocks, a single currency area imposes a welfare cost associated with the lack of exchange rate adjustment. But Mundell (1973) argues that a single currency area offers risk-sharing benefits in the face of country-specific shocks and restricted ability for capital markets to facilitate consumption insurance. In our model, a single currency area, as compared with a system of national currencies and floating exchange rates, brings both welfare costs associated with the absence of exchange rate adjustment and welfare benefits associated with risksharing. The model provides a utility-based comparison of costs versus benefits. While theoretically, either monetary regime may dominate, quantitatively, the net welfare benefits of a single currency area are likely to be negative.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.002
Science and technology studies0.0010.003
Scholarly communication0.0050.008
Open science0.0030.003
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0110.001

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.

Opus teacher head0.072
GPT teacher head0.289
Teacher spread0.217 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations0
Published2000
Admission routes1
Has abstractyes

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