Course Details

PANEL DATA ECONOMETRICS

DSBE514

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Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
1DSBE514PANEL DATA ECONOMETRICS3+0+037,5

Course Details
Language of Instruction English
Level of Course Unit Master's Degree
Department / Program DATA SCIENCE
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course Introducing panel data, its types, common usage areas and main characteristics. Introducing main static panel data estimation methods with their statistical and econometric foundations. Showing the use of panel data analysis techniques including addressing of specific research questions.
Course Content Main aim of the course is to cover panel data analysis techniques and their applications in economics, business and related fields. Static panel data models: pooled OLS, first differences, fixed effects, random effects, LSDV, IV, 2SLS and GMM are examined throughout the course. Models are introduced encompassing solid theoretical foundations and standard examples. By the end of the course students will have completed multiple assignments - including data analysis and interpretations of results.- and have practiced applications of these models with scientific rigor and structure.
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Instructor Dr. Seyit GÖKMEN seyit.gokmen@agu.edu.tr
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources

Course Category
Mathematics and Basic Sciences %20
Social Sciences %40
Field %40

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Proje/Çizim 2 % 40
Sunum/Seminer 1 % 20
Final examination 1 % 40
Total
4
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Araştırma Ödevi 2 20 40
Yazılı Sınav 1 30 30
Sunum için Hazırlık 1 20 20
Proje 1 15 15
Rapor 1 20 20
Yazılım Deneyimi 1 23 23
Yüz Yüze Ders 14 3 42
Final Sınavı 1 20 20
Total Work Load   Number of ECTS Credits 7 210

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Describe and characterize panel data
2 Conduct exploratory data analysis with panel data
3 Apply common static panel data estimation techniques
4 Analyze panel data estimation results
5 Identify the necessity and usage areas of panel data


Weekly Detailed Course Contents
Veri yok


Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10
All 5 1 1 5 4 3 5 1 4 2
C1 5 5 2 2 5 4
C2 5 5 3 2 5 4
C3 5 5 5 2 5 4 3
C4 5 1 1 5 5 4 5 1 4 3
C5 4 1 1 5 1 2 5 1 4 1

Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant


https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=76785&lang=en
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