Information Package / Course Catalogue
Forecasting Techniques For Micro and Macro Economics
Course Code: EK468
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

Teaching the econometric forecasting methods for the variables in microeconomics and macroeconomics

Course Content

Analysing the econometric forecasting methods for the variables in microeconomics and macroeconomics with applications

Name of Lecturer(s)
Learning Outcomes
1.Comprehend the econometric forecasting methods
2.Explain the econometric forecasting methods
3.pply the econometric forecasting methods
4.communicate their knowledge, thoughts and recommendations in written and oral form
5.Be able to identify the shortcomings related to the field of practice
Recommended or Required Reading
1.Articles and lecture notes
2.B. Abraham ve J. Ledorter Statistical Methods for Forecasting
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to forecasting
Week 2 - Theoretical
Time series analysis I
Week 3 - Theoretical
Time series analysis II
Week 4 - Theoretical
Forecasting by using ARIMA Models I
Week 5 - Theoretical
Forecasting by using ARIMA Models II
Week 6 - Theoretical
Forecasting by using Box-Jenkins Methodology I
Week 7 - Theoretical
Forecasting by using Box-Jenkins Methodology II
Week 8 - Theoretical
Forecasting by using Box-Jenkins Methodology II
Week 9 - Theoretical
Forecasting by using VAR Models I-Forecasting by using VAR Models II
Week 10 - Theoretical
Forecasting by using ARCH Models I
Week 11 - Practice
Forecasting by using ARCH Models II
Week 12 - Theoretical
Forecasting by using Quantitative Dependent Variable Models I
Week 13 - Theoretical
Forecasting by using Quantitative Dependent Variable Models II
Week 14 - Practice
Software Applications
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142370
Individual Work73235
Midterm Examination1819
Final Examination1819
TOTAL WORKLOAD (hours)123
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
OÇ-1
5
2
3
4
3
2
3
4
3
OÇ-2
4
2
3
4
3
3
5
5
3
OÇ-3
3
2
4
3
4
3
5
3
5
OÇ-4
2
2
4
3
4
5
4
5
4
OÇ-5
3
4
3
3
3
4
3
3
4
Adnan Menderes University - Information Package / Course Catalogue
2026