Information Package / Course Catalogue
Econometric Methods and Models
Course Code: ZTE525
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 8
Objectives of the Course

The objective of this course is to enable the students to learn obtaining econometrics models and to provide them with the skills for interpreting

Course Content

Principles of econometrics, Multiple Linear regression model, Deviations from linear regression model, Dummy variable, Probit and Logit Regression

Name of Lecturer(s)
Prof. Osman Orkan ÖZER
Learning Outcomes
1.To be able to learn the basic principles of econometrics
2.To be able to gain the ability of analyses in econometrics model
3.To be able to gain the ability of to make predictions about economic events
4.To gain the ability to understand the economic decision process
5.Gaining the ability to introduce social events into mathematical patterns
Recommended or Required Reading
1.Greene, William H. (2012): Econometric analysis. 7. ed., internat. ed. Boston, Mass.: Pearson (Pearson series in economics).
2.Badi H. Baltagi (2011): Econometrics, Springer ISBN 978-3-642-20059-5
3.Tarı, Recep (2015): Ekonometri: Umuttepe Yayınları, 5. Baskı,ISBN:6055100254
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to Econometrics
Week 2 - Theoretical
Type of data in econometrics
Week 3 - Theoretical
Multiple Linear regression model
Week 4 - Theoretical
Establishing model, estimation
Week 5 - Theoretical
Evaluation of Econometric Models
Week 6 - Theoretical
Deviations from linear regression model
Week 7 - Theoretical
Detection of Multicollinearity and fixing the problem
Week 8 - Theoretical
Detection of autocorrelation and fixing the problem
Week 9 - Theoretical
Detection of Heteroscedasticity and fixing the problem
Week 10 - Theoretical
Predicting in Common Mathematical Forms (Linear Form, Inverse Function, Semi Logarithmic Functions, Double Logarithmic Function)
Week 11 - Theoretical
Dummy variable
Week 12 - Theoretical
Regression with a Binary Dependent Variable: Probit and Logit Regression
Week 13 - Theoretical
An overview course
Week 14 - Theoretical
An overview course II
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory14103182
Midterm Examination1819
Final Examination110111
TOTAL WORKLOAD (hours)202
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
OÇ-1
5
5
OÇ-2
5
5
OÇ-3
5
5
OÇ-4
5
5
OÇ-5
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026