Analysis of the Trade Cycle in the UK and its Relationship to the Business Cycle
Bibliographic record
Abstract
This study aims to analyze the trade cycle in the UK and analyze its relationship to the business cycle. This study uses secondary quarter data in the form of exports, imports, and UK GDP from 1987 to 2016. Band-pass filter data filter method is used in this study to isolate short-term cycles and assume an average growth of each variable. The results of this study indicate that the trade cycle in the UK has a medium-term cycle of around 2-4 years for both exports and imports. And there is a significant relationship between global economic events and movements in the trade cycle. Like in the early 2000s and late 2008. The relationship that exists in the cycle, especially the trade cycle between exports and imports, is found to be procyclical where the conditions are mutually exclusive. Meanwhile, between the trade cycle and the business cycle in the UK, there are many counter-cyclical situations where the relationship between the two cycles is inversely proportional. This is different from the findings of previous studies.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".