The Effect of International Currency Crises on the Balance of Payments: Evidence From Jordan
Bibliographic record
Abstract
The effect of the international currency crises on the Jordanian balance of payments (BoP) between Q1-2000 and Q4-2017 was investigated in this paper. The currency crises are represented by the various exchange rates (ER) for the Japanese Yen, United States (US) Dollar, Euro Member Countries, China Renminbi, and the United Kingdom (UK) Pound with the Jordanian Dinar. In approximating the potential short-run and long-run associations among the different ER variations and the BoP, the ARDL bounds testing technique was employed. The empirical findings revealed that variation in the ER rate for EUR/JOD had a positive significant impact on the BOP for the short-run and long-run relation, whereas, opposingly, for the JPY/JOD, it had a negative significant impact on the BoP in the short-run and long-run relations. For other currencies, the results varied. Therefore, to reduce the effect of currency fluctuations and resultant crises on the BoP, over-reliance on the promotion and importation of goods and domestic export products should be avoided. As such, in the context of the Jordanian economy, the country needs to diversify. Accordingly, this can only be achieved if the economy is expanded along with advancing and developing entrepreneurial innovation supported by fiscal disciplines.
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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 | 0.002 | 0.007 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".