|
Course Name : Econometrics
|
Degree: Bachelor
|
|
Code
|
Year/Semester
|
Local Credits
|
ECTS Credits
|
Course Implementation, Hours/Week
|
|
Course
|
Tutorial
|
Laboratory
|
|
EF 311
|
3/1 (Fall)
|
3
|
5
|
2
|
1
|
-
|
|
Department
|
Economics and Finance
|
|
Instructors
|
Asst. Prof. Dr. S. Meral Çakıcı
|
|
Contact Information
|
e-mail: smcakici@pirireis.edu.tr
|
|
Office Hours
|
Monday 10:00- 12:00
|
|
Web page
|
-
|
|
Course Type
|
Compulsory
|
Course Language
|
English
|
|
Course Prerequisites
|
EF 214
|
|
Course Description
|
Introduction, role of econometrics, economic model construction, structural and reduced forms, two-variable linear model, least squares estimation, correlation coefficient, least squares estimators and their properties, inference in the least squares model, fundamentals of matrix algebra, matrix formulation of the least squares problem, multivariate linear model, least squares method in multivariate model
|
|
Course Objectives
|
1. To equip students with the fundamentals of econometrics
2. To enable students to establish the connection of econometrics to economic theory, statistics and mathematical economics
|
|
Course Learning Outcomes
|
Students that complete the Econometrics-EF 311 course successfully are able to
- Identify the basic econometric research methods
- Explain the basic regression analysis
- Derive and interpret the structural and reduced forms
- Apply the least squares estimation method in both two-variable and multivariate models
- Explain homoskedasticity, linearity in parameters, and goodness of fit
|
|
Instructional Methods and Techniques
|
Presentation of Theory and Problem Sessions
|
|
Tutorial Place
|
-
|
|
Co-term Condition
|
-
|
|
Textbook
|
- “Basic Econometrics” by Damodar Gujarati and Dawn Porter, McGraw-Hill, 5th Edition, 2008.
- “Econometric Methods” by Jack Johnston and John Dinardo, McGraw-Hill, 4th Edition, 1996.
|
|
Other References
|
-
|
|
Homework & Projects
|
Problems, that are similar in spirit to those solved during the Problem Session, are assigned to students for better understanding and enhancement of topics.
|
|
Laboratory Work
|
-
|
|
Computer Use
|
-
|