Information Package / Course Catalogue
Panel Data Analysis
Course Code: EFN572
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

In this course, it is aimed to examine the panel data analysis methods used in economics and finance both theoretically and practically.

Course Content

Aggregated Models, Panel Data Models, Variance and Autocorrelation Tests in Panel Data Models, Apparently Unrelated Regression, Unit Root Tests in Panel Data, Horizontal Section Dependency, Panel Peer Integration

Name of Lecturer(s)
Learning Outcomes
1.To be able to define the basic concepts of panel data analysis
2.Obtaining the appropriate dataset for panel data analysis
3.Determining the appropriate analysis method for the panel dataset
4.To be able to establish a model
5.To reveal and interpret relationships
Recommended or Required Reading
1.Ekonometriye Giriş, Modern Bir Yaklaşım, 50. Baskı, J.M. Wooldridge, 2012
Weekly Detailed Course Contents
Week 1 - Theoretical
Basic Concepts, Introduction
Week 2 - Theoretical
Review of estimation methods (Linear Models and OLS, GLS, MLE, IV, GMM)
Week 3 - Theoretical
Review of estimation methods (Linear Models and OLS, GLS, MLE, IV, GMM)
Week 4 - Theoretical
Econometric analysis and simulation with STATA
Week 5 - Theoretical
Linear Panel Data Models: Fixed effects model, single and double direction error components models
Week 6 - Theoretical
Linear Panel Data Models: Random effects
Week 7 - Theoretical
Comparison of tests and estimation methods and hypothesis testing
Week 8 - Intermediate Exam
Midterm
Week 9 - Theoretical
Equation systems, GMM, SURE (Seemingly Unrelated REgressions) and Error Components Models
Week 10 - Theoretical
Simultaneous Equations and Error Components Models
Week 11 - Theoretical
Dynamic panel data models, Arellano-Bond, Arellano-Bover and Blundell and Bover Estimators
Week 12 - Theoretical
Dynamic panel data models, Arellano-Bond, Arellano-Bover and Blundell and Bover Estimators
Week 13 - Theoretical
Unbalanced panel data models
Week 14 - Theoretical
Non-stationary panel ver models, panel unit root tests, panel cointegration tests
Week 15 - Theoretical
Non-stationary panel ver models, panel unit root tests, panel cointegration tests
Week 16 - Final Exam
Final Exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142370
Individual Work72228
Midterm Examination110111
Final Examination115116
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
OÇ-1
3
4
3
4
4
4
4
3
4
OÇ-2
4
4
3
4
5
4
3
3
4
OÇ-3
4
4
3
4
3
3
4
4
5
OÇ-4
4
4
3
4
5
4
3
3
4
OÇ-5
4
4
3
4
3
4
5
4
3
Adnan Menderes University - Information Package / Course Catalogue
2026