Inflation Dynamics and Monetary Transmission in Turkey in the Inflation Targeting Regime
Bibliographic record
Abstract
This study aims to analyse the determinants of inflation and the effectiveness of the monetary transmission in Turkey. The study is covering the period 2003:Q2-2015:Q3 which consists of just an inflation targeting time before 2008, and inflation and financial stability targeting time after 2008 global financial crises. The autoregressive distributed lag model (ARDL) bound test is used for the long-run relationship and a VAR analysis for the short-run dynamics. The cointegration results reveal that the credit growth, US/TL exchange rate, real effective exchange rate, interest rate, and imported inflation are the determinants of inflation in Turkey in the long run. Also, our empirical findings indicate that exchange rate is the most effective factor in inflation. According to the VAR model’s impulse responses, the key drivers of inflation are the movements in the US/TL nominal effective exchange rate, real effective exchange rate, interest rate, GDP growth in the short-term, and credit growth is in the medium-term. ARDL cointegration and impulse responses also show that interest rate and credit growth are efficient instruments as a monetary policy for the inflation targeting and financial stability.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".