On the linkage between Gross Value Added by Economic Activities and the Overall Gross Value Added in EU-27
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The financial and economic crisis led to a significant recession in the EU-27 in 2009, followed by a rebound in 2010. The existing economic situation requires a rethinking of the economic development policies, focused on analyzing the indicator of gross value added, created in production. This may lead to a new growth model, based on economic activities with higher value added. This paper investigates the linkage between overall gross value added in EU-27 and gross value added by economic activities, as described by NACE Rev. 2, from first quarter 2010 to second quarter 2020. The article attempts to include a wide range of statistical analysis and models for a complete assessment of the subject. Therefore, in order to achieve the objective, we choose to investigate the presence of causality relationships using VAR/SVAR models and Granger causality test, which reflect the presence of long and short-term relationships between certain selected variables. Through the assessment, we discovered a strong bi-directional causality between overall gross value added and the gross value added by industry and by distributive trades, transport, accommodation and food services, based on which we estimated a linear regression. The findings should present interest for policymakers, in order to assess perspectives to economic growth.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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