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Record W2029503669 · doi:10.1177/0027950107080386

Factors Affecting the US Current Account: An Historical Decomposition

2007· article· en· W2029503669 on OpenAlexaboutno aff
Ray Barrell, Dawn Holland, Ian Hurst

Bibliographic record

VenueNational Institute Economic Review · 2007
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Productivity
Canadian institutionsnot available
Fundersnot available
KeywordsCurrent accountEconomicsLiberian dollarQuarter (Canadian coin)Monetary economicsReal gross domestic productInvestment (military)Private sectorBalance of tradeFellInternational economicsExchange rateGeographyFinanceEconomic growth

Abstract

fetched live from OpenAlex

The US current account deficit was around 6½ per cent of GDP in 2006, having risen by 2 per cent of GDP since 2002 when the dollar reached its peak and started to decline. Between the peak in 2002 and the last quarter of 2006 the dollar fell by 13.4 per cent in effective terms using 2003 trade weights, and it might have been expected that the current account would have improved. However, over the same period the household savings rate fell by more than 4 per cent of personal incomes and private sector investment rose by 0.6 per cent of GDP. At the same time, the public sector deficit improved by around 1 per cent of GDP, but this was not enough to offset the major decline in net savings in the private sector. These domestic imbalances have been partly responsible for the deterioration in the current account, and appear to have more than offset the impacts of the decline in the dollar. In addition, since 2002 the oil price has risen and this has led to a significant deterioration in the US current account.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.014
Science and technology studies0.0000.000
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.119
GPT teacher head0.330
Teacher spread0.212 · 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

Citations1
Published2007
Admission routes1
Has abstractyes

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