The comparison of success of monetary policy based on inflation targeting in case of central banks of Canada and the Czech Republic.
Bibliographic record
Abstract
The aim of the bachelor's thesis is to compare the features of monetary policy based on inflation targeting and its implementation in the Czech Republic and Canada. The comparison is made in two different points of view -- both the qualitative and the quantitative. The first compares the main instruments of monetary policy used by both central banks. The other analyzes the rate of success in fulfillment of pre-determined targets for short-term interest rates and inflation; it also provides the possible explanation of deviations. The results confirmed that both central banks have strong influence on behavior and movements of short-term interest rates. In case of CNB the results imply possible movements of short-term interest rates based on anticipation of near future changes in monetary policy instrument. The rate of success in fulfillment of inflation targets was considerably better in case of Bank of Canada; however, the worse performance of CNB in comparison to Bank of Canada was primarily based on extraordinary shocks that had hit the Czech economy.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".