Effects of Mineral-Commodity Price Shocks on Monetary Policy in Developed Countries
Bibliographic record
Abstract
This paper investigates effects of changes in mineral commodity prices on monetary policy. Using macroeconomic data from five developed countries (Australia, Canada and New Zealand as mineral-producing countries, and the US and the UK as non-mineral-resource countries), I estimate the impulse response functions of the policy interest rates and the core consumer price index (CPI) inflation rates to mineral-commodity price shocks. I find that, in response to an unexpected 10 percent increase in mineral commodity prices, the central banks in the mineral-producing countries are estimated to increase their policy interest rates by approximately one percentage point, and they seem to take anticipatory policy reactions to control core CPI variations triggered by these shocks. Thus, mineral commodity prices appear to be important determinants of the monetary policies in the mineral-producing countries. However, the effects of the increase in their policy interest rates on core CPI inflation are different across the examined mineral-producing countries. I also find that the central banks in the non-mineral- resource countries insignificantly respond to mineral-commodity price shocks because such price shocks have little impact on those countries’ core CPI inflation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".