Course Code & Number
ECON 331-O
Course Title
Econometrics I
Credit Hours/ ECTS Credits
(3+0+0) 3 TEDU Credits, 6 ECTS Credits
Type of Course:
Compulsory
Mode of Delivery:
Face-to-face
Language of Instruction:
English
Pre-requisite / Co-requisite::
Pre-requisites: MATH 232
Co-requisites: NONE
Catalog Description
Interactions between economic problems and the assumptions of statistical theory. Formulation, estimation and testing of economic models. Single variable and multiple variable regression techniques. Theory of identification and issues relating to inference. Functional forms and specification error analysis. Detection of multicollinearity and heteroscedasticity. Use of dummy variables.
Course Objectives
The main objectives of this course to revise and strengthen students’ knowledge of univariate and multivariate statistics; to obtain a full understanding of the classical linear regression model; to provide students with a working knowledge of regression analysis under non-classical assumptions on the disturbance; to provide the necessary mathematical and statistical tools needed to conduct theoretical econometric analysis at an advanced level.
Software Usage
Students will use Stata 12, MS Office applications (Word, Excel, Access, Powerpoint) to work on their weekly assignments about 2 hours a week.
Course Learning Outcomes
Upon succesful completion of this course, a student will be able to
1. Demonstrate understanding of verbal, graphical, mathematical and econometric representation of economic ideas and analysis, including the relationship between them.
2. Demonstrate more extensive knowledge and skills of quantitative economics and econometrics.
3. Apply complex ideas to solve problems; reason logically and work analytically; perform with high levels of accuracy.
4. Apply mathematical, statistical and graphical techniques in an appropriate manner and analyse and solve complex problems accurately.
5. Relate economic questions to empirical observations and try to deal with those using econometric models based on sound hypotheses.
6. Have a working knowledge of a statistical software and use it to address empirical questions.
7. Demonstrate the ability to apply econometric principles by writing a quality paper and giving oral presentations of the findings of the paper as an individual and as a group member.
Learning Activities and Teaching Methods:
Telling/Explaining
Discussion/Debate
Questioning
Reading
Demonstrating
Problem Solving
Case Study/Scenarion Analysis
Oral Presentations/Reports
Field Trips
Hands-on Activities
Web Searching
Assessment Methods and Criteria:
Test / Exam
Quiz
Lab Assignment
Case Studies / Homework
Presentation (Oral/Poster)
Assessment Methods and Criteria Others:
Recommended Reading
1. Stock. J. H., and M. W. Watson, Introduction to Econometrics. 3rd Edition, Addison Wesley-Pearson Education, Boston, 2010.
Required Reading
1. Wooldridge. J., Introductory Econometrics: A Modern Approach. 4th Edition, South-Western College Pub., Cincinnati, 2008.
Learning Activities and Teaching Methods Others:
Course Coordinator:
Tekin Köse
Student Workload:
| Workload |
Hrs |
| Course Readings |
42 |
| Field Trips/Visits |
6 |
| Lab Applications |
12 |
| Hands-on Work |
6 |
| Exams/Quizzes |
24 |
| Report on a Topic |
12 |
| Oral Presentation |
12 |
Course & Program Learning Outcome Matching:
