Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
This course aims to make students familiar with relevant concepts in fundamental Econometrics and apply the methods in practice. |
|
|
topic Discussion/Production |
Discussion |
Lecturing |
|
Written Presentation |
Attendance |
Oral Presentation |
Assignment |
Quiz |
|
Course Content and Homework/Schedule/Tests Schedule |
Week |
Course Content |
Week 1 |
Course Introduction |
Week 2 |
Holiday |
Week 3 |
Introduction to Econometrics |
Week 4 |
Review of Statistics |
Week 5 |
Statistical Analysis and Statistical Software |
Week 6 |
Simple Regression Analysis |
Week 7 |
Multiple Regression Analysis |
Week 8 |
Forecasting |
Week 9 |
Midterm Exam |
Week 10 |
Introduction of Time Series Analysis |
Week 11 |
Stationary in Time Series data |
Week 12 |
Midterm Case Presentation |
Week 13 |
AR, MA, ARMA, and relevant models |
Week 14 |
Other relevant topics |
Week 15 |
Final Case Presentation |
Week 16 |
Final Case Presentation |
Week 17 |
Self-directed learning in the course (Discussion for final report) |
Week 18 |
Self-directed learning in the course (Discussion for final report) |
|
Evaluation |
Participation: 15%
Homework: 20%
Case Presentation and Report: 40%
Midterm Exam: 25% |
Textbook & other References |
1.Jeffrey M. Wooldridge (2013), Introductory Econometrics: A Modern Approach, 5th Edition, South-Western Cengage Learning.
2.Cowpertwait, P. S., & Metcalfe, A. V. (2009). Introductory time series with R. Springer Science & Business Media.
3.Shumway, R. H., Stoffer, D. S., & Stoffer, D. S. (2000). Time series analysis and its applications (Vol. 3). New York: springer. |
Teaching Aids & Teacher's Website |
Lecture notes from the textbook and the instructor. |
Office Hours |
Tuesday (by appointment) |
Sustainable Development Goals, SDGs |
08.Decent Work and Economic Growth | include experience courses:N |
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