Information Package / Course Catalogue
Econometrics I
Course Code: ECON301
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

The purpose of Econometrics I is to introduce undergraduate students to the fundamental principles and techniques of econometric analysis. This course aims to provide a solid foundation in the basic concepts of econometrics, including the nature of econometric data, the importance of economic models, and the role of statistical inference in economics. It also aims to equip students with the skills to formulate and estimate simple econometric models, particularly focusing on the classical linear regression model and its assumptions.

Course Content

This course will give students a strong basic understanding of econometric principles and techniques and prepare them for more advanced topics in Econometrics II. Some key topics to be covered include ordinary least squares (OLS) estimation, hypothesis testing, and the interpretation of regression coefficients.

Name of Lecturer(s)
Prof. Osman PEKER
Learning Outcomes
1.Students understand the basic principles of econometrics and its role in empirical economic research.
2.Students differentiate between types of economic data.
3.Students estimate simple and multiple linear regression models using OLS.
4.Students understand and apply hypothesis testing within the context of regression analysis.
5.Students clearly interpret regression outputs, including coefficients, R-squared, and test statistics.
Recommended or Required Reading
1.Tarı, R., Koç, S. ve Abasız, T. (2019). Ekonometri. Umuttepe Yayınları.
2.Gujarati, D. N. ve Porter, D. C. (2020). Temel Ekonometri. Literatür Yayınevi.
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to Econometrics
Week 2 - Theoretical
Types of Data: Cross-Section, Time Series, and Panel Data
Week 3 - Theoretical
Econometric Modelling: Model Specification
Week 4 - Theoretical
Functional Forms of Regression Analysis
Week 5 - Theoretical
Simple Regression Analysis
Week 6 - Theoretical
Multiple Regression Analysis
Week 7 - Theoretical
The Significance of the Stochastic Disturbance Term
Week 8 - Theoretical
Estimating Model with OLS
Week 9 - Theoretical
Interpreting Regression Coefficients
Week 10 - Theoretical
Properties of OLS Estimator: Gauss-Markov Theorem
Week 11 - Theoretical
A Measure of “Goodness of Fit”: The Coefficient of Determination
Week 12 - Theoretical
Hypothesis Testing: The t-Test Approach
Week 13 - Theoretical
Hypothesis Testing: The F-Test Approach
Week 14 - Theoretical
Using Dummy Variables in Regressions
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142370
Midterm Examination120121
Final Examination130131
TOTAL WORKLOAD (hours)122
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
OÇ-1
4
5
5
5
5
5
5
5
5
5
OÇ-2
4
4
4
5
5
5
4
5
4
4
OÇ-3
5
5
5
5
4
4
4
5
5
5
OÇ-4
3
3
3
3
5
5
5
4
4
4
OÇ-5
5
5
5
5
5
3
3
3
3
3
Adnan Menderes University - Information Package / Course Catalogue
2026