Information Package / Course Catalogue
Econometric Modelling
Course Code: İMF503
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: 5
Objectives of the Course

Econometric analysis based on students' knowledge about their methods and their theoretical foundations and econometric analysis using a computer and also acquiring the ability to analyze.

Course Content

This course is the definition of Econometrics discipline, the scope and covers the basic methods and tools.

Name of Lecturer(s)
Learning Outcomes
1.Knows the basic econometric methods of analysis.
2.Knows the basic theoretical foundations of econometric analysis methods.
3.Econometric analysis using a computer can do.
4.
5.
Recommended or Required Reading
1.Damodar N. Gujarati, Basic Econometrics, 4/e, McGraw Hill, 2004
Weekly Detailed Course Contents
Week 1 - Theoretical
The aim of the course, and. What is Econometrics?
Week 1 - Preparation Work
Damodar N. Gujarati, Basic Econometrics, 4/e, McGraw Hill, 2004
Week 2 - Theoretical
Review of some probability and statistics
Week 2 - Preparation Work
Damodar N. Gujarati, Basic Econometrics, 4/e, McGraw Hill, 2004
Week 3 - Theoretical
Review of some probability and statistics
Week 3 - Preparation Work
Damodar N. Gujarati, Basic Econometrics, 4/e, McGraw Hill, 2004
Week 4 - Theoretical
Regression analysis
Week 4 - Preparation Work
Damodar N. Gujarati, Basic Econometrics, 4/e, McGraw Hill, 2004
Week 5 - Theoretical
Two-variable regression model: estimation
Week 5 - Preparation Work
Damodar N. Gujarati, Basic Econometrics, 4/e, McGraw Hill, 2004
Week 6 - Theoretical
Maximum likelihood method and the assumption of normality
Week 6 - Preparation Work
Damodar N. Gujarati, Basic Econometrics, 4/e, McGraw Hill, 2004
Week 7 - Theoretical
Two-variable regression: interval estimation and hypothesis testing
Week 7 - Preparation Work
Damodar N. Gujarati, Basic Econometrics, 4/e, McGraw Hill, 2004
Week 8 - Intermediate Exam
Midterm Exam
Week 9 - Theoretical
Two-variable regression: interval estimation and hypothesis testing
Week 9 - Preparation Work
Damodar N. Gujarati, Basic Econometrics, 4/e, McGraw Hill, 2004
Week 10 - Theoretical
Extensions of the two-variable regression model
Week 10 - Preparation Work
Damodar N. Gujarati, Basic Econometrics, 4/e, McGraw Hill, 2004
Week 11 - Theoretical
Extensions of the two-variable regression model
Week 11 - Preparation Work
Damodar N. Gujarati, Basic Econometrics, 4/e, McGraw Hill, 2004
Week 12 - Theoretical
Multiple regression analysis: estimation
Week 12 - Preparation Work
Damodar N. Gujarati, Basic Econometrics, 4/e, McGraw Hill, 2004
Week 13 - Theoretical
Multiple regression analysis: estimation
Week 13 - Preparation Work
Damodar N. Gujarati, Basic Econometrics, 4/e, McGraw Hill, 2004
Week 14 - Theoretical
Multiple regression analysis: estimation
Week 14 - Preparation Work
Damodar N. Gujarati, Basic Econometrics, 4/e, McGraw Hill, 2004
Week 15 - Preparation Work
Damodar N. Gujarati, Basic Econometrics, 4/e, McGraw Hill, 2004
Week 16 - Final Exam
Final Exam
Week 17 - Final Exam
Final Exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142370
Midterm Examination125126
Final Examination130131
TOTAL WORKLOAD (hours)127
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
4
4
3
4
4
4
4
3
3
2
OÇ-2
5
2
4
3
4
4
4
4
5
4
OÇ-3
4
5
4
4
5
5
5
3
4
4
OÇ-4
2
3
4
4
3
3
2
4
3
4
OÇ-5
3
2
4
2
3
4
3
5
4
2
Adnan Menderes University - Information Package / Course Catalogue