Transmission Mechanism of Exchange Rate Pass-Through to Domestic Price: The Case of Afghanistan
Bibliographic record
Abstract
This article investigates the mechanism of exchange rate pass-through to the prices in the context of the Islamic Republic of Afghanistan’s economy. This study explored the magnitude and speed of the pass-through effect on the prices by analyzing quarterly data from 2003 Q1 to 2019 Q2 considering five variables (viz., world food price index, foreign reserves, money supply, import price, and nominal effective exchange rate) based on the Vector Autoregression Model (VAR) with the cointegration and innovation accounting tools such has impulse response function and variance decomposition. The findings of the study suggest that the exchange rate pass-through in Afghanistan is incomplete. The import price is highly responsive in the short-run and moderately responsive an increasingly smooth movement in the long-run. However, CPI in the short-run with swift positive respond but the long-run smooth increasing movement. Furthermore, variance decomposition evidence shows that import price is affected by FR, NEER, CPI, and MS in both short-run and long-run, but the CPI strongly lagged by its variance, WFP, NEER, import price, and MS.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".