Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
İKT-23-119Elective116
Level of Course Unit
Second Cycle
Objectives of the Course
The aim of this course is to enable the student to measure and evaluate the theoretical knowledge gained from Microeconomics and Macroeconomics courses in a practical way with a panel data structure that combines crosssection and time series data. This course is practical.
Name of Lecturer(s)
Dr. Öğr. Üyesi Murat EREN
Learning Outcomes
1Basic Concepts in Panel Data and Advantages of Using Panel Data
2Linear Panel Data Models
3One way Cross and/or Time Effects Panel Data Models and Estimation Methods
4Two and Multi Effects Panel Data Models
5The Choices between Estimation Methods and Testing Underlying Assumptions
Mode of Delivery
Daytime Class
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
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.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Panel Data, Basic Concepts, Advantages and Problems of Using Panel Data
2Statistical Software for Panel Data, General View and Windows, Introduction to Panel Data Models with software
3Linear Panel Data Models and Estimation Methods
4Estimation of Panel Data Models - Application with Package Programs
5One Way- Cross Sectional Effect Panel Data Models and Estimation Methods
6One Way Cross Sectional Effect Panel Data Models and Estimation Methods-Maximum Likelihood, Generalized Least Squares Methods
7Random Effects Models
8Midterm 1
9One Way- Time Effect, Two way and Multi effect Panel Data Models
10The Choices between Estimation Methods on Panel Data Models
11The Tests for deviations from underlying assumptions
12Applied Panel Data Analysis with STATA General Application – 1
13Applied Panel Data Analysis with STATA General Application – 2
14Final
Recommended or Required Reading
• STATA ile Panel Veri Modelleri, Editör:Selahattin Güriş, Der Yayınları İstanbul,2015 • Panel Veri Ekonometrisi, Ferda Yerdelen Tatoğlu, Beta Yayınları, İstanbul 2013 • Matyas, Laszlo; Sevestre, Patrick “The Econometrics of Panel Data, a Handbook of the Theory with Applications” 2.th edition, Kluwer Academic Publishers, 1996
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Examination150
Homework150
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Examination1100
SUM100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
SUM100
Language of Instruction
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination122
Final Examination122
Attending Lectures13339
Self Study14570
Individual Study for Mid term Examination12020
Individual Study for Final Examination12020
Homework13226
TOTAL WORKLOAD (hours)179
Contribution of Learning Outcomes to Programme Outcomes
PO
1
LO15
LO24
LO34
LO44
LO55
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
Iğdır University, Iğdır / TURKEY • Tel (pbx): +90 476 226 13 14 • e-mail: info@igdir.edu.tr