Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
5İKT303Econometrics I3+0+03518.08.2026
Course Details
Language of Instruction Turkish
Level of Course Unit Bachelor's Degree
Department / Program Economics
Type of Program Formal Education
Type of Course Unit Compulsory
Course Delivery Method Face To Face
Objectives of the Course The aim of this course is to teach students econometric applications and provide a critical perspective on economic problems encountered in daily life. The course also enables students to work with different datasets such as time series and cross-sectional data.
Course Content • Definition of Econometrics and Econometric Approach
• Verbal, Geometrical, Mathematical, and Econometric Models
• Statistical Theory and Econometric Techniques
• Structural Analysis, Pre-reporting, and Economic Policy Evaluation
• Economic Events, Economic Data, and Data Refinement
• Descriptive Measures
• Simple Correlation Coefficient
• Prediction and Hypothesis Testing
• Simple Linear Regression Model
• Least Squares Estimation
• Interpretation of Regression Predictions and Coefficient of Determination
• Properties of Regression Coefficients
• Hypothesis Tests
• Example Solutions
• Multiple Regression Analysis
• Multiple Determination Coefficient
• Transformation of Variables
• Function Selections
• Semi-logarithmic Models
• Example Solutions
• F Tests in Multiple Regression
Course Methods and Techniques Each lesson begins with the instructor introducing the topic of the day. The course is conducted interactively. A combination of methods, including direct instruction, question-and-answer sessions, case studies, and discussions of research findings, is applied. Therefore, students are expected to thoroughly prepare by reading the relevant topics from the previous week in advance.
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Associate Prof.Dr. Zeynep Köse
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Tarı, Recep, Econometrics, 7th Edition, Umuttepe Publishing, 2011. Sevüktekin, Mustafa, Introduction to Econometrics, Dora Publishing, 2013.
Course Notes Attendance is mandatory at a rate of 70%.
Students must not attend classes without a book, notebook, and pen.

Course Category
Field %100

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 1 % 30
Assignment 2 % 20
Final examination 1 % 50
Total
4
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 15 2 30
Assignments 2 30 60
Mid-terms 1 30 30
Final examination 1 30 30
Total Work Load   Number of ECTS Credits 5 150

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Concepts of econometrics and econometric models
2 Introduction to forecasting theory and properties of forecast estimators
3 Forecasting methods (OLS and maximum likelihood methods)
4 Hypothesis tests, confidence intervals, econometric models
5 Normality assumption, correlation coefficient, coefficient of determination
6 Simple regression models
7 Multiple regression models
8 Detection and correction of specification errors
9 Lagged variables and distributed lag models
10 Simultaneous equation systems
11 Regression with dummy variables (Logit, Probit Models)
12 Granger causality analysis, panel data analysis

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Econometrics and Econometric Model Concepts The topics to be covered in the first week should be read from books and other sources and watched from videos. Tarı, Recep, Econometrics, 7th Edition, Umuttepe Publishing, 2011. Sevüktekin, Mustafa, Introduction to Econometrics, Dora Publishing, 2013.
2 Introduction to Forecasting Theory and Properties of Forecast Estimators The topics covered last week and the topics to be covered this week should be read from the book and other sources. Tarı, Recep, Econometrics, 7th Edition, Umuttepe Publishing, 2011. Sevüktekin, Mustafa, Introduction to Econometrics, Dora Publishing, 2013.
3 Forecasting Methods (OLS and Maximum Likelihood Methods) The topics covered last week and the topics to be covered this week should be read from the book and other sources. Tarı, Recep, Econometrics, 7th Edition, Umuttepe Publishing, 2011. Sevüktekin, Mustafa, Introduction to Econometrics, Dora Publishing, 2013.
4 Hypothesis Testing, Confidence Interval, Econometric Models The topics covered last week and the topics to be covered this week should be read from the book and other sources. Tarı, Recep, Econometrics, 7th Edition, Umuttepe Publishing, 2011. Sevüktekin, Mustafa, Introduction to Econometrics, Dora Publishing, 2013.
5 Normality Assumption, Correlation Coefficient, Coefficient of Determination The topics covered last week and the topics to be covered this week should be read from the book and other sources. Tarı, Recep, Econometrics, 7th Edition, Umuttepe Publishing, 2011. Sevüktekin, Mustafa, Introduction to Econometrics, Dora Publishing, 2013.
6 Simple Regression Models The topics covered last week and the topics to be covered this week should be read from the book and other sources. Tarı, Recep, Econometrics, 7th Edition, Umuttepe Publishing, 2011. Sevüktekin, Mustafa, Introduction to Econometrics, Dora Publishing, 2013.
7 Multiple Regression Models The topics covered last week and the topics to be covered this week should be read from the book and other sources. Tarı, Recep, Econometrics, 7th Edition, Umuttepe Publishing, 2011. Sevüktekin, Mustafa, Introduction to Econometrics, Dora Publishing, 2013.
8 Midterm exam week Working at home Tarı, Recep, Econometrics, 7th Edition, Umuttepe Publishing, 2011. Sevüktekin, Mustafa, Introduction to Econometrics, Dora Publishing, 2013.
9 T Test, F Test The topics covered last week and the topics to be covered this week should be read from the book and other sources. Tarı, Recep, Econometrics, 7th Edition, Umuttepe Publishing, 2011. Sevüktekin, Mustafa, Introduction to Econometrics, Dora Publishing, 2013.
10 Detection and Correction of Specification Errors The topics covered last week and the topics to be covered this week should be read from the book and other sources. Tarı, Recep, Econometrics, 7th Edition, Umuttepe Publishing, 2011. Sevüktekin, Mustafa, Introduction to Econometrics, Dora Publishing, 2013.
11 Lagged Variables and Distributed Lag Models The topics covered last week and the topics to be covered this week should be read from the book and other sources. Tarı, Recep, Econometrics, 7th Edition, Umuttepe Publishing, 2011. Sevüktekin, Mustafa, Introduction to Econometrics, Dora Publishing, 2013.
12 Simultaneous Equation Systems The topics covered last week and the topics to be covered this week should be read from the book and other sources. Tarı, Recep, Econometrics, 7th Edition, Umuttepe Publishing, 2011. Sevüktekin, Mustafa, Introduction to Econometrics, Dora Publishing, 2013.
13 Regression with Dummy Variables (Logit, Probit Models) The topics covered last week and the topics to be covered this week should be read from the book and other sources. Tarı, Recep, Econometrics, 7th Edition, Umuttepe Publishing, 2011. Sevüktekin, Mustafa, Introduction to Econometrics, Dora Publishing, 2013.
14 Granger Causality Analysis, Panel Data Analysis The topics covered last week and the topics to be covered this week should be read from the book and other sources. Tarı, Recep, Econometrics, 7th Edition, Umuttepe Publishing, 2011. Sevüktekin, Mustafa, Introduction to Econometrics, Dora Publishing, 2013.
15 General review The topics covered so far are read from books and other sources. Tarı, Recep, Econometrics, 7th Edition, Umuttepe Publishing, 2011. Sevüktekin, Mustafa, Introduction to Econometrics, Dora Publishing, 2013.
16 Final exams Working at home Tarı, Recep, Econometrics, 7th Edition, Umuttepe Publishing, 2011. Sevüktekin, Mustafa, Introduction to Econometrics, Dora Publishing, 2013.

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12
All 4 4 3 4 4 3 4 4 4 1 4 1
C1 4 4 4 4 4 4 4 4 4 1 4 1
C2 4 4 3 5 4 3 4 4 4 1 4 1
C3 4 4 3 5 4 3 4 4 4 1 4 1
C4 5 4 4 3 4 4 4 5 3 1 4 1
C5 4 4 3 4 4 3 4 4 4 1 3 1
C6 3 4 3 3 4 4 4 3 4 1 3 1
C7 3 3 3 3 3 3 3 3 3 1 4 1
C8 4 4 4 4 3 3 3 3 3 1 3 1
C9 3 2 2 3 3 3 3 3 3 1 2 1
C10 3 2 2 3 3 3 3 3 2 1 2 1
C11 4 4 3 4 3 3 4 4 4 1 4 1
C12 4 4 3 4 3 3 4 4 4 1 4 1

  Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant