| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Econometric Models | IKT114 | Elective | Doctorate degree | 1 | Spring | 6 |
Name of Lecturer(s)
Prof. Dr. Recep TARI
Associate Prof. Dr. Hılal YILDIZ
Learning Outcomes of the Course Unit
1) Recognize the application of econometric techniques they needed.
2) Recognize the the feature of time series analysis.
3) Having informaiton about stationary and structural change.
4) Recognize the short and long term dynamics.
5) Apply the procedure of short run long run dynamics and causality, cointegration, error correction, VAR,VECM.
6) Use the statistic software.
7) Make a contribution to studens determine a topic interested area and also make a empirical research and apply some technique and present.
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||
| 1 | 2 | 3 | ||
| Learning Outcomes | ||||
| 1 | High | Middle | Middle | |
| 2 | High | Middle | Middle | |
| 3 | High | Middle | Middle | |
| 4 | High | Middle | Middle | |
| 5 | High | Middle | Middle | |
| 6 | High | Middle | Middle | |
| 7 | High | Middle | Middle | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
Candidates are provided with profound knowledge on unit root, seasonality ,DF79,DF81, perron89, cointegration, ECM,causality,VAR,AR,MA,ARMA,ARIMA
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
30% |
|---|---|
Contribution of Final Examination to Course Grade |
70% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required