The Effects of The Interest Rate Volatility on Turkish Money Demand
Bibliographic record
Abstract
This study aims to examine, especially the effects of interest rate (time deposit and treasury bills) volatilities on the demand for money in case of Turkey for 1987: 1-2007: 3 period. Quarterly data of all variables are used as the research data and Pesaran, Shin and Smith (2001) 's bound test is used as the research method. In computing interest rate volatilities, moving-sample standart deviation method which is proposed by Kenen and Rodrik (1986) and Koray and Lastrapes (1989) is used. According to the results, the long run coefficient of gross domestic product is positive and statistically significant as expected. Although, the volatility of interest rate on treasury bills is positive as expected, it is statistically insignificant. On the other side, the coefficient of volatility of interest rate on time deposit, the coefficient of inflation rate and the coefficient of exchange rate are all negative and statistically significant as expected.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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".