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GRADUATE INSTITUTE of SOCIAL SCIENCES / DEPARTMENT of ECONOMETRICS
Doctoral Degree
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SBE
GRADUATE INSTITUTE of SOCIAL SCIENCES / DEPARTMENT of ECONOMETRICS / Doctoral Degree
Katalog Ana Sayfa
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EKOZ6570Selected Topics inTime Series Analysis II3+0+0ECTS:7.5
Year / SemesterSpring Semester
Level of CourseThird Cycle
Status Compulsory
DepartmentDEPARTMENT of ECONOMETRICS
Prerequisites and co-requisitesNone
Mode of Delivery
Contact Hours14 weeks - 3 hours of lectures per week
LecturerProf. Dr. Zehra ABDİOĞLU
Co-Lecturer
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
The main objective of this course is to introduce some of the techniques that are used in time series analysis.
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : recognize some of the frequently-used time series techniques.2,31,
PO - 2 : recognize when and how to use these new techniques.2,31,
PO - 3 : make predictions by using time series.2,31,
PO - 4 : evaluate the findings of applications about time series.2,31,
PO - 5 : produce micro or macro policies based on hypothesis investigated and forecast chosen.2,31,
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome

 
Contents of the Course
Cointegration, Vector Autoregressive Models (VAR), Structural VAR, Causality, Eviews Uygulamaları.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Cointegration
 Week 2Testing for Cointegration: The Engle-Granger Methodology
 Week 3Testing for Cointegration: Johansen Methodology
 Week 4Error Correction Model
 Week 5Cointegration and Error Correction: Eviews Applications
 Week 6Vector Autoregressive Models (VAR)
 Week 7The Impulse Response Function
 Week 8Variance Decomposition
 Week 9Mid-term exam
 Week 10Granger Nedensellik Testi ve Sims Nedensellik Testi
 Week 11VAR Analysis: Eviews Applications
 Week 12Quiz
 Week 13Structural VAR
 Week 14Eviews Applications
 Week 15Eviews Applications
 Week 16End-of-term exam
 
Textbook / Material
 
Recommended Reading
1Hamilton, James.D. (1994) Time Series Analysis, Princeton University Press, Second Edition, USA
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 04/2024 1 30
Homework/Assignment/Term-paper 12 05/2024 1 20
End-of-term exam 16 06/2024 1 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 3 14 42
Sınıf dışı çalışma 8 14 112
Arasınav için hazırlık 12 2 24
Arasınav 2 1 2
Ödev 3 2 6
Kısa sınav 1 1 1
Dönem sonu sınavı için hazırlık 12 3 36
Dönem sonu sınavı 2 1 2
Total work load225