The Impact of RMB Exchange Rate Fluctuation on Price Level in China: An Empirical Analysis Based on the Vector Error Correction Model
Bibliographic record
Abstract
With the improvement of RMB internationalization level, the impact of the changing international financial environment on China’s economy is becoming more and more serious, so it is increasingly important to study the transfer effect of exchange rate changing on Chinese prices. Based on the monthly data from August 2005 to October 2016 and by constructing vector error correction model, this paper empirically examines the transfer effect of RMB exchange rate changes on China’s price level. It is found that: 1) The transfer effect of nominal effective exchange rate of RMB on the single price index is smooth. 2) The transfer effect of RMB nominal effective exchange rate on China’s price index is incomplete and there is a certain delay. For each unit of appreciation of RMB, the consumer price index will fall by 0.18 units. Import price index (IPI) respond most quickly to exchange rate movements, while producer price index (PPI) and consumer price index (CPI) slow down in turn. 3) The error correction model analysis shows that the nominal effective exchange rate of RMB has a certain self-correcting mechanism for the transfer effect of China’s price index.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".