External Balance Adjustment: An Intra-National and International Comparison
Bibliographic record
Abstract
Large external imbalances have become a policy concern. This study investigates the determinants of external balances for regions within a single country--Canadian provinces--as well as for a sample of 18 OECD countries. External balance adjustment may differ for provinces since there are few intra-national barriers to the mobility of capital, goods and labour within Canada. Also, because Canada is a monetary union, there is no currency risk associated with lending and borrowing across provinces, and this may promote inter-provincial financial flows. The estimates show that the short run response of the external balance to disturbances, such as a deterioration in the terms of trade, is typically larger for Canadian provinces than for OECD countries. There is also a much greater speed of adjustment of the external balance in the Canadian provinces. This faster adjustment speed, combined with the larger response of the external balance, means that provinces may see a quicker resolution of external imbalances, but larger deficits or surpluses may emerge before adjustment occurs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".