The Transformation and Performance of Emerging Market Economies Across the Great Divide of the Global Financial Crisis
Bibliographic record
Abstract
The process of central bank (CB) evolution by emerging market economies (EMEs), including central bank independence (CBI) and transparency (CBT), converged towards that of the advanced economies (AEs) before the Global Financial Crisis (GFC) of 2007-2008.It was greatly aided by the adoption of inflation targeting.In this paper we evaluate this convergence process for a representative set of EMEs and AEs since the disruption of the GFC.We use several measures of institutional development (changes in CBI, changes in CBT, changes in a new index of institutional resilience and changes in a new measure of CB credibility).We then use panel VARs based on both factor models and observed data to ascertain the impact of global shocks, financial shocks, trade shocks and credibility shocks on the EMEs versus the AEs.We find that although some EMEs did maintain the levels of CBI and CBT that they had before the crisis, on average they experienced a decline in institutional resilience to shocks and in the quality of their governance.Moreover it appears that CB credibility in EMEs was more fragile than was the case for the AEs in the face of the global shocks (from the US) than was the case for the AEs.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".