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VEHICLE CURRENCY*

2013· article· en· W2320558911 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Economic Review · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic theories and models
Canadian institutionsUniversity of TorontoUniversity of British Columbia
Fundersnot available
KeywordsCurrencyLiberian dollarDevaluationReserve currencyEconomicsMonetary economicsForeign exchange riskForeign-exchange reservesLocal currencyInternational economicsFinance

Abstract

fetched live from OpenAlex

Historically, the world economy has been dominated by a single currency accepted in the exchange of goods and assets among countries. In recent decades, the U.S. dollar has played this role. The dollar acts as a “vehicle currency” in the sense that agents in nondollar economies will generally engage in currency trade indirectly using the U.S. dollar instead of using direct bilateral trade among their own currencies. A vehicle currency is desirable when there are transactions costs of exchange. This article constructs a dynamic general equilibrium model of a vehicle currency. We explore the nature of the efficiency gains arising from a vehicle currency and show how it depends on the total number of currencies in existence, the size of the vehicle currency economy, and the monetary policy followed by the vehicle currency’s government. We find that there can be significant welfare gains to a vehicle currency in a system of many independent currencies. But these gains are asymmetrically weighted toward the residents of the vehicle currency country. The survival of a vehicle currency places natural limits on the monetary policy of the vehicle currency country.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.814
Threshold uncertainty score0.966

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0350.049

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 head0.036
GPT teacher head0.256
Teacher spread0.219 · 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