Information Package / Course Catalogue
Panel Data Analysis
Course Code: ECN537
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

To evaluate, modeling and solving problems with applications on panel data which combines cross section and time series data

Course Content

Basic concepts of panel data, advantages of using panel data, covariance analysis, one-way and two-way error-regression models, random and fixed effect models, hypothesis tests, random coefficient models, deviations from the assumptions, application with package programs.

Name of Lecturer(s)
Prof. Kurtuluş BOZKURT
Learning Outcomes
1.Learn the basic concepts of panel data and the advantages of using panel data.
2.Learns linear panel data models.
3.Can use one-way unit and time effects panel data models and estimation methods.
4.Can use multiple effects panel data models.
5.Can make choices between forecasting methods and test basic assumptions.
Recommended or Required Reading
1.Selahattin GÜRİŞ - STATA ile Panel Veri Modelleri, Der Yayınları, İstanbul.
2.Ferda Yerdelen TATOĞLU - Panel Veri Ekonometrisi, Beta Yayınları, İstanbul.
3.Ferda Yerdelen TATOĞLU - İleri Panel Veri Analizi, Beta Yayınları, İstanbul.
Weekly Detailed Course Contents
Week 1 - Theoretical
Panel data, basic concepts, advantages and problems of using panel data.
Week 2 - Theoretical
Software, overview and windows, introduction to software and panel data models.
Week 3 - Theoretical
Linear panel data models and estimation methods.
Week 4 - Theoretical
Estimation of panel data models: Application with package programs
Week 5 - Theoretical
One way-cross sectional effect panel data models and estimation methods
Week 6 - Theoretical
One-way unit effects panel data models and estimation methods: Maximum Likelihood and Generalized Least Squares Method
Week 7 - Theoretical
Random effects model
Week 8 - Theoretical
Application
Week 9 - Intermediate Exam
Midterm Examination
Week 10 - Theoretical
One-way (time effects), two-way and multiple effects panel data models.
Week 11 - Theoretical
Preferences among estimation methods of panel data models.
Week 12 - Theoretical
Tests of basic assumptions in panel data models: Classical and fixed effects models.
Week 13 - Theoretical
Tests of basic assumptions in panel data models: Random effects models.
Week 14 - Theoretical
Application
Week 15 - Theoretical
Application
Week 16 - Final Exam
Final Examination
Week 17 - Final Exam
Final Examination
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%30
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140114
Lecture - Practice140228
Individual Work140228
Midterm Examination123225
Final Examination128230
TOTAL WORKLOAD (hours)125
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
PÇ-14
PÇ-15
OÇ-1
1
1
5
2
2
3
2
OÇ-2
2
2
4
3
3
2
2
OÇ-3
2
2
5
3
3
2
2
OÇ-4
2
2
4
2
2
3
2
OÇ-5
2
2
5
3
3
2
2
Adnan Menderes University - Information Package / Course Catalogue
2026