Bibliographic record
Abstract
This study investigates to what extent of coordination between the fiscal and monetary policies in Egypt in the period 1980-2017, it has been adopted in its methodology on the vector error correction and Granger causality test. It concludes that there is a significant relation between money supply and budget deficit on one hand and inflation on the other hand, and that fiscal policy is dominant in monetary policy, as a change of 10% of the budget deficit results in an increase in the inflation rate of 8.1%. As for the Granger causality test. Thus stresses the existence of causal relationship to one direction of inflation against both the budget deficit and the money supply, which affects the budget deficit in the second slowdown. Then it feeds the budget deficit and inflation in the third year, which in turn feeds the budget deficit in the fourth year and the causal relationship between inflation and money supply has concluded that there is a one-way causal relationship of money supply to inflation after four slows and then inflation affects the money supply from the fifth to the tenth slowdown. As for the relationship of the budget deficit to money supply, there may be a one-way causal relationship between the budget deficit and the money supply from the second to the tenth year, except the third year, which also confirms the dominance of fiscal policy on monetary policy in Egypt in the period under consideration.
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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 | 0.002 |
| 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 | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".