Econometric Forecasting Methods I
Economic Theory
Institute of Social Sciences
Second Cycle (Master's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Econometric Forecasting Methods I | ITY101 | Compulsory | Master's degree | 1 | Fall | 6 |
Name of Lecturer(s)
Prof. Dr. Selçuk KOÇ
Learning Outcomes of the Course Unit
1) Applying econometrical research method.
2) Using method of regression analysis.
3) Testing the estimates.
4) Using functional forms.
5) Identifying and correcting multicollinearity, heteroscedasticity and autocorrelation.
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||
| 1 | 2 | 3 | ||
| Learning Outcomes | ||||
| 1 | High | High | High | |
| 2 | High | High | High | |
| 3 | High | High | High | |
| 4 | High | High | High | |
| 5 | High | High | High | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Applied Econometric
Course Contents
This course equips candidates with in-depth knowledge on econometrics and its scope, simple regression model, properties of estimation techniques, multiple regression model, solving by matrices, types of functional forms, linear form, multiple form, semi-logarithmic form, logarithmic form, inverse form, multicollinearity, heteroscedasticity, autocorrelation.
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
40% |
|---|---|
Contribution of Final Examination to Course Grade |
60% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required