Course Code & Number
ECON 332_O
Course Title
Econometrics II
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: ECON 331-O
Co-requisites: NONE
Catalog Description
Estimation of binary dependent variable models. Use of instrumental variables technique. Introduction to forecasting models. Analysis of time series data. Detection of autocorrelation and heteroscedasticity in time series data. Identification of stationarity and cointegration of time series. Causality in time series models.
Course Objectives
This course aims to provide the necessary background techniques needed to analyse the behaviour of time series processes; to develop the analytical skills required to characterize the theoretical properties of different time series processes; to provide a sound understanding of the applicability and limitations of the univariate time series methodology as a means for empirical modelling and producing forecasts of economic time series.
Software Usage
Students will use MS Office applications (Word, Excel, and PowerPoint) to work on their assignments/case study/research review, presentations and a Statistical Software (STATA) for the lab applications and their written projects.
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
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 |
| Lab Applications |
18 |
| Exams/Quizzes |
24 |
| Report on a Topic |
12 |
| Oral Presentation |
12 |
Course & Program Learning Outcome Matching:
