MUF619 - APPLIED ECONOMETRICS
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| APPLIED ECONOMETRICS | MUF619 | 1st Semester | 3 | 0 | 3 | 6 |
| Prequisites | - | |||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Drill and Practice | |||||
| Instructor (s) | Prof. Dr. Tarkan ÇAVUŞOĞLU | |||||
| Course objective | The aim of the course is to teach the theoretical basis of the regression analysis and apply it to economic models by using an econometrics software; and to teach methods that can be used in testing some of the economic hypotheses empirically. | |||||
| Learning outcomes |
| |||||
| Course Content | Regression models and estimation techniques, model restrictions and hyphotesis tests, modelling and estimating regressions with dummy variables, multi-collinearity, heteroscedasticity and autocorrelation problems with related test statistics, dynamic models. | |||||
| References | Gujarati D. N. and Porter D. C. (2009), Basic Econometrics, Fifth Edition, McGraw-Hill. Asteriou D. ve Hall S. G. (2011), Applied Econometrics, Palgrave MacMillan. | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Two-Variable Regression Analysis: Basic Ideas and Estimation |
| Week 2 | Hypothesis Testing in the Two-Variable Regression Model |
| Week 3 | Hypothesis Testing in the Two-Variable Regression Model (continued) |
| Week 4 | Functional forms of Regression Models |
| Week 5 | Estimation and Tets in Multiple Regression Models |
| Week 6 | Analysis of the Multicollinearity Problem |
| Week 7 | Take-home Exam |
| Week 8 | Dummy Variables |
| Week 9 | Applications with Dummy Variables |
| Week 10 | The Problem of Heteroskedasticity and Testing Methods |
| Week 11 | The Problem of Heteroskedasticity and Testing Methods (continued) |
| Week 12 | The Problem of Serial Correlation and Testing Methods |
| Week 13 | The Problem of Serial Correlation and Testing Methods (continued) |
| Week 14 | Take-home Exam |
| Week 15 | Dynamic Models |
| Week 16 | Final exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 2 | 50 |
| Presentation | 0 | 0 |
| Project | 0 | 0 |
| Seminar | 0 | 0 |
| Midterms | 0 | 0 |
| Final exam | 1 | 50 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 2 | 50 |
| Percentage of final exam contributing grade succes | 1 | 50 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 6 | 84 |
| Presentation / Seminar Preparation | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Homework assignment | 0 | 0 | 0 |
| Midterms (Study duration) | 2 | 12 | 24 |
| Final Exam (Study duration) | 1 | 30 | 30 |
| Total Workload | 31 | 51 | 180 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. Conducts novel and ethical research on business, reports outcomes in a critical manner. | X | ||||
| 2. Solves problems via appropriate softwares, adapts to new methods and software. | X | ||||
| 3. Has managerial and leadership skills to identify problems, objectives and strategic plans for organizational progress with a critical point of view. | X | ||||
| 4. Plays an active role in projects, analyses relationship between stakeholders accurately, motivates and manages all stakeholders through effective language skills. | X | ||||
| 5. Has necessary communication skills to manage verbal and written communication. | X | ||||
| 6. Analyses and uses contemporary and advanced knowledge in relation with information from different areas. | X | ||||
| 7. Progresses continuously and transfers the experience in both written and verbal ways. | X | ||||
| 8. Through anticipation and strategic thinking, plays an active role in organizational decision making process. | X | ||||
| 9. Uses knowledge in consistency with the ethical, social and international values in an unbiased manner. | X | ||||
| 10. Has expertise on the multi-disciplinary nature of management and related fields. | X | ||||
| 11. Approaches problems with a wide strategic perspective, self-develops continuously. | X | ||||
| 12. Shares novel studies, is up to date both in knowledge and personal network. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest