Wavelet variance and correlation analyses of output in G7 countries
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Bibliographic record
Abstract
In this paper we apply the wavelets methodology to the analysis of the industrial production index of the G-7 countries between 1961:1-2005:5. The analysis is performed using a multi-scaling approach which decomposes the variance of the industrial production index and the covariance between the industrial production indices of two countries on a scale-by-scale basis through a non-orthogonal variant of the classical discrete wavelet transform, i.e. the maximal overlap discrete wavelet transform (MODWT). Wavelet variance analysis does not provide evidence of an international patterns of moderation in output volatility, as the moderation of output volatility occurred after the early eighties is confirmed only for the Euro-area countries plus Japan. Moreover, wavelet correlation analysis different correlation patterns at the different time-scale components and, that, with some exceptions, the linkages between countries are mostly significant only at the business cycle time scales, with the strongest relationships between the Anglo countries (particularly Canada and US), France and Germany, Japan and the Euro- zone countries, with Italy displaying the closest links with France.
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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 | 0.002 | 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 | 0.001 |
| 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 it