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Record W2187414796

The Political Economy of International Monetary Integration

2005· article· en· W2187414796 on OpenAlexaff
Patrick Leblond

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsEconomicsCurrencyPoliticsPolitical economyKeynesian economicsInternational economicsLaw and economicsMonetary economicsPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

Some notable observers of the world economy such as Nobel laureate Robert Mundell and ex-IMF Chief Economist Kenneth Rogoff predict that there will be only one or a few currencies in the world in the foreseeable future. Unfortunately, none of these predictions rests on a clearly-defined general theory of international monetary integration (IMI). They may tell us where the future lies but they do not say anything about the necessary and sufficient conditions to get there. This makes it hard to argue with them. This paper remedies this void and helps set the foundations for a fruitful debate about the future of the international monetary system. It does so by combining economic factors (trade, high inflation, financial development, economic cycle symmetry, overseas development assistance) with political ones (peace, domestic stability, regime type, and the depreciation of the symbolic value of the national currency). Some of these factors are well established but others are not. For example, no one seems to have discussed in the context of IMI the strategic nature of a national currency for a government (as a means of financing) when it comes to ensuring its survival when threatened by war and/or domestic conflict. Furthermore, IMI discussions have not taken into account the fact that the influence of certain variables (e.g., trade, inflation, business cycle symmetry, OCA conditions) on the IMI decision is mediated by a state’s regime type. In democracies economic agents’ opinions are more likely to be heard and taken into account than in autocracies. This general theoretical framework then tested econometrically using a large binary time-series cross-section dataset covering the years 1960-2000. This is the first such test of the formation of IMIs to be done to date.

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)0.004
metaresearch head score (Gemma)0.007
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 score0.010
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.009
Scholarly communication0.0100.005
Open science0.0000.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.018
GPT teacher head0.228
Teacher spread0.210 · 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
Published2005
Admission routes1
Has abstractyes

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