Inflation Targeting in Brazil, Chile and South Africa: An Empirical Investigation of Their Monetary Policy Framework
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Bibliographic record
Abstract
This paper tackles the monetary policy performance in Brazil, Chile and South Africa under inflation targeting framework. Furthermore, it provides an empirical assessment through using the unrestricted Vector Auto-regression (VAR) and Structural Vector Auto-regression (SVAR) approaches depending on data spans the period from the first quarter of 1970 to the fourth quarter of 2007. On the other hand, it utilizes the Likelihood Ratio (LR) Statistic to test for possible structural changes due to the adoption of inflation targeting regime in those countries. The main findings are as follows: inflation targeting does make a difference in the performance of monetary policy in those countries. Furthermore, the experience of Brazil, Chile and South Africa provides important lessons for other emerging market economies to adopt such a framework.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 it