Dynamics of Macroeconomic Adjustment in a Globalized Developing Economy: Growth, Accumulation and Distribution, Turkey 1969–1999
Bibliographic record
Abstract
Our purpose in this paper is to establish stylized facts of the Turkish macroeconomic adjustments using data from 1969 to 1999. We adopt a traditional a priori definition of business cycles as cyclical co-movements of economic variables such as public, private and construction investments, trade balance, labour productivity, wages and fiscal accounts with the cyclical component of real GDP. We also incorporate in our analysis an investigation of the cyclical components of exchange rates, interest rates, price inflation, and the monetary aggregates. Our quantitative findings reveal a robust and significant positive relationship between public and private investments and real GDP growth, suggesting the presence of “crowding in” effects of public investment. Trend growth of manufacturing wages and average labour productivity are loosely associated over the whole period, and the rapid gains in productivity in the post-1980 reform era are not observed to be materialized as gains in remunerations of wage labour. We also find a significant negative correlation of manufacturing wages with merchandise exports and the exchange rate; and document further evidence of the strong negative correlation between variations in consumer prices and production.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".