Foreign Exchange Reserves and the Macro-economy in the GCC Countries
Bibliographic record
Abstract
This research looks into the accumulation of foreign exchange reserves and the development of the macro-economy in the Gulf and Cooperation Council countries (GCC countries), namely, Bahrain, Kuwait, Oman, Qatar, Saudi Arabia and the United Arab Emirates. Using yearly data covering the period from 1996 through 2015, the empirical results show positive and significant relationships between foreign exchange reserves accumulation on one hand, and oil prices, GDP, the ratio of current account to GDP, and the ratio of broad money to GDP on the other hand. Moreover, the results point to negative and significant relationships between foreign exchange reserves accumulation on one hand, and real effective exchange rate, the ratio of debt to GDP, and call money rates on the other hand. However, the results show that the stockpile of foreign exchange reserves in the GCC countries is not sensitive to nominal effective exchange rates, neither to the ratio of imports to GDP, and nor to interest rates on the US Dollar. Furthermore, the study shows a robust and positive link between foreign exchange reserves and oil prices on the one hand and economic growth in these countries on the other hand.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".