Bibliographic record
Abstract
Abstract This study investigates real interest parity (RIP) in trade partnerships, and whether RIP depends on the type of trade partnership, using short term interest rates and the Consumer Price Index (CPI) obtained from the Organization for Economic Cooperation and Development (OECD) database between 1975 and 2016. The investigation employs unit root and stationarity tests on interest rate differentials to study RIP between countries using Germany, United States, and Japan as base countries for selected countries in the European Union (EU), member countries of the North American Free Trade Agreement (NAFTA) and selected Asian countries respectively. The results show evidence in favor of RIP in the selected EU countries. The interest rate differentials of Belgium, France, Italy, Spain and the UK with respect to Germany confirms a long‐run relationship and real interest rate parity. There is also evidence to support the RIP in the other trade partnerships. With the exception of Mexico, the interest rate differentials for all the countries are stationary, and each quickly reverts to its mean.
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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 | 0.005 | 0.047 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".