Course Details

ECONOMETRICS I

ECON301

Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
5ECON301ECONOMETRICS I3+0+035

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
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources
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

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


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
Veri yok

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Ev Ödevi 5 3 15
Sınıf İçi Aktivitesi 14 2 28
Okuma 14 3 42
Araştırma 14 3 42
Total Work Load   Number of ECTS Credits 4 127

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning 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
WeekTopicsStudy MaterialsMaterials
1 Regression analysis and linear regression model
2 The problem of estimation
3 Interval estimation and hypothesis testing
4 Parameter stability, dummy and omitted variables


Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10
C1 5 5 5 4 3 5 5 3 2 4
C2 5 4 5 5 3 5 5 4 3 2
C3 5 5 5 5 3 5 5 3 2 5
C4 5 5 5 5 3 5 5 3 4 2

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