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Record W7097892102

The Empirics of International Currencies:

2005· article· en· W7097892102 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsPound SterlingSubject (documents)Pound (networking)HospitalityInternational financeEconomic ThoughtEuropean Monetary System
DOInot available

Abstract

fetched live from OpenAlex

Using a new database for the late 19 century when the pound sterling was the leading currency, this paper provides the first empirical review of several key issues in the economics of international currencies. First, we report evidence in favor of the search theoretic models of the emergence of international currencies. Second, we give empirical support to strategic externalities. Third, we provide strong confirmation of the existence of persistence. Finally, we also reject the view that the international monetary system is subject to pure path dependency, in that it cannot remain locked into some past equilibrium. Our conclusion is that, for the late 19 century at least, money and trade were complements. The extent to which this is still true today should be the topic of future research. . Marc Flandreau is Professor of Economics and Clemens Jobst PhD candidate, Sciences Po, Paris. Address for correspondence: Chaire de Finances Internationales, Sciences Po, 27 rue Saint-Guillaume, 75007 Paris, France, email: flandreau@sciences-po.fr. The authors gratefully acknowledge financial support from the Bank of France (Fondation Banque de France). Flandreau thanks the IMF for its hospitality while writing part of this paper (April 2005). Earlier versions of this paper were presented at the Cliometric Conference, Lake Tahoe, June 2005, Stanford University, June 2005, the European Economic History Conference, Istanbul, September 2005, the EHA meetings, Toronto, September 2005, the Paris X-Nanterre macroeconomics seminar, October 2005, and the BIS seminar, November 2005. We are grateful for discussions with colleagues and comments from seminar participants. We specially thank Michel Aglietta, Mike Bordo, Claudio Borio, Barry Eichengreen, Andrew F...

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)0.003
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0100.016
Science and technology studies0.0010.001
Scholarly communication0.0060.006
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.002

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 head0.033
GPT teacher head0.258
Teacher spread0.225 · 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 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

Citations0
Published2005
Admission routes1
Has abstractyes

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