
| Course Code | : |
| Course Type | : |
| Couse Group | : |
| Education Language | : |
| Work Placement | : |
| Theory | : 0 |
| Prt. | : 0 |
| Credit | : 0 |
| Lab | : 0 |
| ECTS | : |
| 1. | Students are able to apply stationarity tests and decide whether a series is stationary or not. |
| 2. | Students construct VAR models and interpret impulse-response functions and variance decomposition results. |
| 3. | Students can perform Engle-Granger or Johansen Cointegration Tests. |
| 4. | Students can perform Vector Error Correction model and interpret the outputs. |
| 5. | Students are able to establish and estimate the ARDL model, and interpret the outputs. |
| 6. | Students are able to apply all topics with the help of package programmes and interpret the outputs. |
| 1. | Enders, W. (2014). Applied Econometric Time Series. Wiley. |
| 2. | Mert, M. ve Çağlar, A. E. (2023). Eviews ve Gauss Uygulamalı Zaman Serileri Analizi. Detay Yayıncılık. |
| 3. | Göktaş, P., Pekmezci, A. ve Bozkurt, K. (2019). Ekonometrik Serilerde Uzun Dönem Eşbütünleşme ve Kısa Dönem Nedensellik. Gazi Kitabevi. |
| 4. | Bozkurt, H. Y. (2013). Zaman Serileri Analizi. Ekin Yayınevi. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %40 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 3 | 3 | 84 |
| Midterm Examination | 1 | 10 | 3 | 13 |
| Final Examination | 1 | 20 | 3 | 23 |
| TOTAL WORKLOAD (hours) | 120 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | |
OÇ-1 | 3 | 2 | 2 | 3 | 3 | 3 | 2 | 4 | 2 | 3 | ||
OÇ-2 | 2 | 3 | 2 | 4 | 2 | 4 | 2 | 3 | 4 | 2 | ||
OÇ-3 | 3 | 3 | 4 | 2 | 3 | 4 | 2 | 5 | 3 | 2 | ||
OÇ-4 | 4 | 2 | 3 | 2 | 4 | 1 | 2 | 3 | 3 | 2 | ||
OÇ-5 | 3 | 5 | 4 | 2 | 3 | 5 | 1 | 2 | 3 | 5 | ||
OÇ-6 | 3 | 3 | 4 | 5 | 2 | 3 | 4 | 2 | 3 | 4 | ||