A System Equation Model A Comparative Study for G-7 Countries
Bibliographic record
Abstract
This paper investigates the relationship among investments, exports and economic growth for G-7 countries for the period 1975-2017, except for Germany (1991-2017), estimating a simultaneous system equations model. The Group of Seven countries (G7) is a group consisting of Canada, France, Germany, Italy, Japan, United Kingdom, and USA regarded as the most advanced countries worldly, representing 58% of the global net wealth. Ôhe purpose of this paper is to examine the long-run relationship between the examined variables applying the two-stage least squared method. Finally, a system equation model is estimated for G7 countries applying a Monte Carlo simulation method, in order to find out the predictive ability of the equation model. The results of this paper indicated that there is a positive relationship between investments, exports and economic growth taking into account the negative indirect effect of inflation rate and positive indirect effect of industrial production index on economic growth. Furthermore, the model is very well simulated, since the simulated values are close to actual values of examined variables.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".