1. THIRD CYCLE - DOCTORATE DEGREE
  2. THE GRADUATE SCHOOL OF SOCIAL SCIENCES
  3. ECONOMICS DEPARTMENT
  4. 2641 ECONOMICS PhD
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EKO 506PANEL DATA APPLICATION3 + 03rd Semester10

COURSE DESCRIPTION
Course Level Doctorate Degree
Course Type Elective
Course Objective To teach the panel data techniques and their applications in E-views and Stata
Course Content Panel OLS model, fixed effects model, random effects model, hausman test, dynamic panel data models, GMM estimator, panel unit root tests, panel cointegration tests and estimation, panel ARDL model
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Edits and analyzes panel data
2Estimates panel data models
3Tests for the panel data tests such as unit root and cointegration

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 001555555555555
LO 002555555555555
LO 003555555555555
Sub Total151515151515151515151515
Contribution555555555555

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14684
Assignments51365
Mid-terms13030
Final examination13939
Total Work Load

ECTS Credit of the Course





260

10
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2019-2020 Spring1DUYGU YOLCU KARADAM
Details 2017-2018 Spring1DUYGU YOLCU KARADAM


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
EKO 506 PANEL DATA APPLICATION 3 + 0 1 Turkish 2019-2020 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Assoc. Prof. Dr. DUYGU YOLCU KARADAM dyolcu@pau.edu.tr Course location is not specified. %
Goals To teach the panel data techniques and their applications in E-views and Stata
Content Panel OLS model, fixed effects model, random effects model, hausman test, dynamic panel data models, GMM estimator, panel unit root tests, panel cointegration tests and estimation, panel ARDL model
Topics
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes