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Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
---|---|---|---|---|---|---|
Econometrics II | EKO312 | Compulsory | Bachelor's degree | 3 | Spring | 5 |
Prof. Dr. Selçuk KOÇ
Prof. Dr. Recep TARI
Associate Prof. Dr. Erhan ORUÇ
Associate Prof. Dr. Hılal YILDIZ
1) Recognize the models of dummy variables.
2) Apply the models of lag regressions.
3) Recognize the simultaneous equation models.
4) Develop the selection of model.
5) Make forecast.
6) Having information about the time series analysis.
Program Competencies | |||||||||||
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | ||
Learning Outcomes | |||||||||||
1 | No relation | High | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
2 | High | High | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
3 | High | High | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
4 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
5 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
6 | High | High | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation |
Face to Face
None
Econometrics I
This course covers artificial variable model (ınstrumental variable model), lagged regression model, more than one equations econometric model, simultaneous equations systems, ıdentification in simultaneous equations, model selection, simulation models, time series models.
1) Lecture
2) Question-Answer
3) Discussion
4) Group Study
5) Self Study
Contribution of Midterm Examination to Course Grade |
30% |
---|---|
Contribution of Final Examination to Course Grade |
70% |
Total |
100% |
Turkish
Not Required