Course Details

Course Information

Semester	Course Unit Code	Course Unit Title	T+P+L	Credit	Number of ECTS Credits	Last Updated Date
5	ECON301	ECONOMETRICS I	3+0+0	3	5	14.05.2025

Course Details

Language of Instruction	English
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	Introducing hypothesis testing, estimation and inference. Showing how to analyze and test economic theory with empirical data.
Course Content	Statistics and econometrics knowledge that is necessary to understand and conduct econometric analysis is developed throughout the course at advanced undergraduate level. Simple and multiple linear regression models are examined in detail with related subjects such as dummy variables, omitted variable bias, interpretation of partial regression coefficients, model evaluation and goodness of fit criteria. In addition, classical assumptions of linear regression models are tested and examined.
Course Methods and Techniques	-
Prerequisites and co-requisities	( ECON205 )
Course Coordinator	None
Name of Lecturers	Asist Prof.Dr. Eda Ustaoğlu eda.ustaoglu@agu.edu.tr
Assistants	Research Assist. Gülcan Doğanay gulcan.doganay@agu.edu.tr
Work Placement(s)	No

Recommended or Required Reading

Resources	-
Course Notes	Wooldridge. J.M. (2020). Introductory Econometrics: A Modern Approach. 7th Edition. Cengage Learning. ISBN-13: 978-1-3375-5886-0 Gujarati, D. N. (2003) Basic Econometrics. McGraw-Hill, New York
Documents	Wooldridge. J.M. (2020). Introductory Econometrics: A Modern Approach. 7th Edition. Cengage Learning. ISBN-13: 978-1-3375-5886-0 Gujarati, D. N. (2003) Basic Econometrics. McGraw-Hill, New York
Assignments	-
Exams	-

Course Category

Mathematics and Basic Sciences	%30
Social Sciences	%70

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
Yarıyıl İçi Çalışmalarının Başarı Notunun Katkısı	4	% 40
Yarıl yılSonu Sınavı/Dönem Projesinin Başarı Notuna Katkısı	1	% 30
Final examination	1	% 30
Total	6	% 100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration	Total Work Load
Ev Ödevi	7	3	21
Sınıf İçi Aktivitesi	14	3	42
Okuma	14	3	42
Araştırma	14	3	42
Final Sınavı	1	2	2
Total Work Load			Number of ECTS Credits 5 149

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:

No	Learning Outcomes
1	Test economic hypotheses and check significance properties.
2	Construct a novel econometric model and test overall performance of the model.
3	Calculate simple and partial correlations between variables within a model.
4	Choose appropriate functional form in regression models.

Weekly Detailed Course Contents

Week	Topics	Study Materials	Materials
1	Introduction to Econometrics and the Nature of Economic Data
2	Review of Probability and Statistics Essentials
3	The Simple Linear Regression Model (SLRM)
4	Properties of OLS Estimators
5	Hypothesis Testing in SLRM
6	Goodness of Fit and Model Evaluation
7	Multiple Linear Regression Model (MLRM)
8	Midterm Exam
9	Multicollinearity and Omitted Variable Bias
10	Dummy Variables and Interaction Terms
11	Functional Form and Model Specification
12	Heteroskedasticity
13	Autocorrelation (Brief Introduction)
14	Review

Contribution of Learning Outcomes to Programme Outcomes

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

https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=70492&lang=en