Information Package / Course Catalogue
Applied Econometrics
Course Code: ECN524
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

The objective of this course is to present to the students sufficient theoretical background on basic econometric techniques and to prepare students in doing independent research project as part of graduate curriculum. This course covers advanced topics related to methodological issues in econometrics, with emphases on computation intensive methods.

Course Content

Heteroscedasticity,Autoregressive conditional heteroscedasticity, Autocorrelation, Instrumental Variable, Two Stage Lest Squares Estimation GMM estimation Models for Panel Data,Systems of Regression Equations, Application...

Name of Lecturer(s)
Learning Outcomes
1.Having a thorough understanding of why it is necessary to consider extensions tothe classical linear regression model.
2.Being more familiar with guidelines for using econometric techniques effectively.
3.Developing proficiency in the use of econometric packages for econometric modelling.
4.To analyze the economic and econometric models
5.Ability to predict parametric estimators
Recommended or Required Reading
1.Greene W. H., (2003), Econometric Analysis, Prentice-Hall, Fifth Edition.
2.Stewart J. and Gill L (1998) Econometrics, Prentice Hall Europe, Second Edition.
3.Hayashi F. (2000) Econometrics, Princeton University Press.
Weekly Detailed Course Contents
Week 1 - Theoretical & Practice
Heteroscedasticity OLS Estimation in the Presence of Heteroscedasticity Testing for Heteroscedasticity Weighted Least Squares
Week 2 - Theoretical & Practice
Autoregressive conditional heteroscedasticity The ARCH(1) Model Maksimum Likelihood Estimation of the GARCH Model Testing for GARCH Effects
Week 3 - Theoretical & Practice
Autoregressive conditional heteroscedasticity Application with Econometric Software
Week 4 - Theoretical & Practice
Autocorrelation OLS Estimation in the Presence of Autocorrelation Testing for Autocorrelation Generalized Least Squares
Week 5 - Theoretical & Practice
Instrumental Variable Method Endogeneity and Causality Instrumental Varaible Estimator
Week 6 - Theoretical & Practice
Two Stage Lest Squares Estimation, Instrumental Variable and Two Stage Least Squares Estimators Hausman’s Specification Tests
Week 7 - Theoretical & Practice
GMM Estimation Methods of Moments Generalized Method of Moments Defined Testing Overidentifying Restrictions
Week 8 - Theoretical & Practice
GMM Estimation Application with Econometric Software
Week 9 - Intermediate Exam
Midterm Examination
Week 10 - Theoretical & Practice
Models for Panel Data Pooled Regression The Fixed-Effects Model Random Effects Models
Week 11 - Theoretical & Practice
Models for Panel Data Dynamic Panel Estimation
Week 12 - Theoretical & Practice
Models for Panel Data Application with Econometric Software
Week 13 - Theoretical & Practice
Systems of Regression Equations
Week 14 - Theoretical & Practice
Presentations of Term Projects
Week 15 - Theoretical & Practice
Presentations of Term Projects
Week 16 - Final Exam
Final Examination
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%30
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140114
Lecture - Practice140228
Individual Work140228
Midterm Examination123225
Final Examination128230
TOTAL WORKLOAD (hours)125
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
PÇ-11
PÇ-12
PÇ-13
PÇ-14
PÇ-15
OÇ-1
2
4
3
3
4
3
3
OÇ-2
1
3
4
3
3
3
3
OÇ-3
2
2
2
2
2
2
2
OÇ-4
3
3
3
3
3
3
3
OÇ-5
2
3
4
4
4
3
2
Adnan Menderes University - Information Package / Course Catalogue
2026