| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Panel Data Analysis | IKT124 | Elective | Doctorate degree | 1 | Spring | 6 |
Name of Lecturer(s)
Prof. Dr. Selçuk KOÇ
Learning Outcomes of the Course Unit
1) Modeling of static and dynamic econometric models for panel data analysis
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||
| 1 | 2 | 3 | ||
| Learning Outcomes | ||||
| 1 | High | High | High | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Econometrics I, Econometrics II, Time Series Analysis
Course Contents
Discussion of advantages and disadvantages of panel data analysis by understanding the place in econometric models
Weekly Schedule
1) Panel Data2) Fixed Effect Models
3) Random Effect Models
4) Pooled OLS
5) Dummy Variable OLS
6) First Difference Method
7) Maximum Likelihood Methods
8) Midterm Exam
9) Heteroskedasticity
10) Serial Correlation
11) Cross Sectional Dependency
12) Correction Methods I
13) Correction Methods II
14) Correction Methods III
15) Correction Methods IV
16) Final Exam
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
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