بررسی تاثیر سیاست پولی و توسعه مالی بر تراز تجاری کشور ایران
Bibliographic record
Abstract
هدف پژوهش حاضر، بررسی تاثیر سیاست پولی و توسعهی مالی بر تراز تجاری کشور ایران در فاصلهی زمانی فصل اول سال 1357 تا فصل چهارم سال 1394 با استفاده از روش جوهانسن- جوسیلیوس است. نتایج حاصل از پژوهش دلالت بر این دارد که اثرگذاری ضرایب متغیرها بر اساس مبانی نظری مورد انتظار بوده و از نظر آماری نیز معنیدار هستند؛ بهطوریکه سیاست پولی انبساطی و توسعهی مالی تاثیر منفی و معنیدار بر تراز تجاری کشور دارند. همچنین ضریب جملهی تصحیح خطا، حاکی از آن است که در هر دوره (هر فصل) 31/0 از عدم تعادل کوتاهمدت برای رسیدن به تعادل بلندمدت تعدیل میشود Abstract The objective of this research is to Study the Effect of Monetary Policy and Financial Development on Iran’s Trade Balance during the first quarter of 1978 to the fourth quarter of 2015 by using Johansen and Juselius cointegration method. The research results indicate that, the impact of coefficients of variables was based on expected theoretical foundations and are statistically significant. So that each of expansionary monetary policy and financial development variables have significant negative impact on trade balance. Also, the results based on error correction model indicate per period (per season), 0.31 short run imbalances to achieve long run balance is adjusted. Keywords: Iran, Trade Balance, Monetary Policy, Financial Development, Johansen-Juselius Method. Classification JEL: F10, F14, F41, E52, G10, C22
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.005 |
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".