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GRADUATE INSTITUTE of SOCIAL SCIENCES / DEPARTMENT of INTERNATIONAL RELATIONS
INTERNATIONAL RELATIONS
Course Catalog
https://www.ktu.edu.tr/uls
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SBE
GRADUATE INSTITUTE of SOCIAL SCIENCES / DEPARTMENT of INTERNATIONAL RELATIONS / INTERNATIONAL RELATIONS
Katalog Ana Sayfa
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SBE5301Quantitative Research Applications in Social Sciences-II3+0+0ECTS:7.5
Year / SemesterSpring Semester
Level of CourseThird Cycle
Status Elective
Department
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 general aim of this course is to enable students to gain knowledge and skills towards quantitative research methods in social sciences.
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : learn basic econometric methods.1,31,3,4,
PO - 2 : gain the ability to estimate the basic econometrics models.1,31,3,4,
PO - 3 : analyze data using the Eviews program.1,31,3,4,
PO - 4 : gain the ability to interpret econometric model predictions economically.1,31,3,4,
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
Models with binary dependent variables (linear probability model, logit, and probit), panel data regression models (pooled OLS, fixed effects model, random effects model), diagnostic tests in panel data regression analysis, robust estimators in panel data regression analysis, autoregressive conditional heteroscedasticity models (ARCH, GARCH, TGARCH, EGARCH), applications of Eviews.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Eviews Program, Data Sources, and Data Sets
 Week 2Models with Binary Dependent Variables (Linear Probability Model)
 Week 3Models with Binary Dependent Variables (Logit Model)
 Week 4Models with Binary Dependent Variables (Probit Model)
 Week 5Panel Data Regression Models (Pooled OLS)
 Week 6Panel Data Regression Models (Fixed Effects Model)
 Week 7Panel Data Regression Models (Random Effects Model)
 Week 8Diagnostic Tests in Panel Data Regression Analysis
 Week 9Mid-term-exam
 Week 10Robust Estimator in Panel Data Regression Analysis
 Week 11Eviews Applications in Panel Data Analysis
 Week 12Quiz
 Week 13Autoregressive Conditional Heteroscedasticity Models (ARCH and GARCH)
 Week 14Asymmetric Autoregressive Conditional Heteroscedasticity Models (TGARCH and EGARCH)
 Week 15Applications of Autoregressive Conditional Heteroscedasticity Models in Eviews
 Week 16End-of-term exam
 
Textbook / Material
1Gujarati, D. N., Porter, D. C. 2009: Basic Econometrics, McGraw-Hill.
 
Recommended Reading
1Wooldridge, J. M. 2009: Introductory Econometrics: A Modern Approach, Macmillan Publishing.
2Gujarati, D. N. 2011: Econometrics by Example, McGraw-Hill.
 
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 2 14 28
Arasınav için hazırlık 10 14 140
Arasınav 1 1 1
Ödev 1 1 1
Dönem sonu sınavı için hazırlık 13 1 13
Total work load225