Information Package / Course Catalogue
Cross Sectional Analysis
Course Code: EK306
Course Type: Required
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

Econometric methods to analyze the survey data and experimental design and the development of interpretation skills.

Course Content

Econometric analysis of cross sectional data from farn management researches by means of least squares through Different mathematical forms, Specificaton tests, Heteroskedasticity tests, Multicollinearity tests, Weigted least squares applications Dummy variables Extensively used econometric software are used for practicing with sample data sets.

Name of Lecturer(s)
Assoc. Prof. Elvan HAYAT
Learning Outcomes
1.To be able to set up linear econometric model
2.To be able to apply necesarry tests for estimated models and improving the best models
3.To be able to estimate different mathematical models
4.To be able to learn mathematical techniques related to econometric models
5.To be able to analyze economic and econometric models
Recommended or Required Reading
1. Davidson, R., MacKinnon, J.G.,Estimation and inference in econometrics, 1993
2.Greene, W.,Econometric Analysis, 4th Ed., 2000
Weekly Detailed Course Contents
Week 1 - Theoretical
Resources can be obtained in cross-sectional data
Week 2 - Theoretical
Econometric modeling principles and practices
Week 3 - Theoretical
Least squares estimation with econometric models (Gretl program with applications)
Week 4 - Theoretical
Model and hypothesis testing regarding the estimator: F and t tests (Gretl program with applications)
Week 5 - Theoretical
Model identification tests: Wald tests (Gretl program with applications)
Week 6 - Theoretical
Model identification tests: Ramsey Reset test (Gretl program with applications)
Week 7 - Theoretical & Practice
Selection of Independent Variables: Neglected Variables (Gretl program with applications)
Week 8 - Theoretical & Practice
Selection of Independent Variables: Neglected Variables (Gretl program with applications)
Week 9 - Theoretical
Selection of Independent Variables: Unnecessary Variables (Gretl program with applications)
Week 10 - Theoretical
Common mathematical form in Estimation: Linear Forms, Inverse Functions, Semi-logarithmic functions, Double logarithmic function (Gretl program with applications)
Week 11 - Theoretical
Common mathematical form in Estimation: Polynomial Functions (Gretl program with applications)
Week 12 - Theoretical
PUPPET variables (Gretl program with applications)
Week 13 - Theoretical
Variances test: Goldfeld Quandt Test (Gretl program with applications)
Week 14 - Theoretical
Variances test: White Test (Gretl program with applications)
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory144398
Individual Work1336
Midterm Examination1819
Final Examination26114
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
OÇ-1
4
4
4
4
5
4
4
4
5
OÇ-2
5
4
5
4
5
4
4
4
OÇ-3
4
4
4
5
4
4
5
5
OÇ-4
OÇ-5
Adnan Menderes University - Information Package / Course Catalogue
2026