The Nature Of Impulse Mechanısm: An Empırıcal Study For Turkey
Bibliographic record
Abstract
The fundamental purpose of this paper is to identify the nature of impulse mechanism, from which random shocks to general price and income levels are generated. In recent business cycle literature, it is generally accepted that business cycles are triggered by random productivity and technology shocks. However, this approach can not explain the current degree of volatility of business cycle fluctuations. Especially, New Keynesian economists emphasized the influence of demand shocks under the assumption of nominal and real rigidities and some other market imperfections. Therefore, it is convenient to identify whether the shocks to the general prices and national income are on demand or supply side. It is shown in the paper that between the first quarter of 1987 and the fourth quarter of 2003 in Turkey, shocks to national income are mostly composed of shocks to demand factors. On the other hand, the shocks to cost factors influence the shocks to general price level more frequently than shocks to demand factors.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".