Bibliographic record
Abstract
This paper examines and evaluates macroeconomic forecasts for the original ASEAN-5 members in the context of a global vector autoregressive (GVAR) model covering 20 countries, grouped into nine countries/regions. After estimating the GVAR model, we generate 12 one-quarter-ahead forecasts for the next quarter including real GDP, inflation, short-term interest rates, real exchange rates, and real equity prices over the period 2009Q1–2011Q4, with four out-of-sample forecasts over the period 2009Q1–2009Q4. Forecast evaluation results based on the panel Diebold-Mariano (DM) tests show the GVAR forecasts tend to outperform forecasts based on the benchmark country-specific models, especially for short-term interest rates and real equity prices, emphasizing the interdependencies in the global financial market.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.005 |
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; both teacher heads agree on what is shown here.
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".