Information Package / Course Catalogue
| Course Code | : ECON426 |
| Course Type | : Area Elective |
| Couse Group | : First Cycle (Bachelor's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 5 |
This course aims to bridge the gap between theoretical econometrics and practical implementation, equipping students with the skills necessary to analyze economic data, test hypotheses, and inform decision-making processes. Through a combination of hands-on exercises and empirical projects, students will learn to apply econometric methods to a variety of economic issues, interpret the results critically, and communicate their findings effectively. Besides, this course strives to prepare students for advanced study and careers in economics, where data-driven decision-making is essential.
This course is designed to provide students with practical skills and knowledge to apply econometric methods to real-world economic data and problems. The focus will be on understanding and implementing econometric techniques to analyze economic relationships, test hypotheses, and make informed decisions based on empirical evidence. Key topics to be covered include: ordinary least squares (OLS) estimation, computation of fundamental econometric statistics, and conducting hypothesis tests.
| Assoc. Prof. Sedat ALATAŞ |
| 1. | Students will be able to use econometric software (e.g., STATA and Eviews) and Excel to analyze real-world economic data and conduct empirical research. |
| 2. | Students will effectively interpret econometric results and communicate their findings in a clear and concise manner, both in written and oral formats. |
| 3. | Students will design and execute an independent econometric research project, demonstrating their ability to apply econometric methods to analyze economic issues. |
| 4. | Students will be able to estimate simple and multiple regressions, interpret the results, and understand the underlying assumptions. |
| 5. | Students will be able to conduct hypothesis tests to make statistical inferences about economic relationships. |
| 1. | Gujarati, D. (2016). Örneklerle Ekonometri. Seçkin Yayıncılık |
| 2. | Gamgam, H. ve Altunkaynak, B. (2021). Regresyon Analizi: Lojistik Regresyon-Eğri Uydurma-Tahmin. Seçkin Yayıncılık. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %40 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 2 | 3 | 70 |
| Midterm Examination | 1 | 20 | 1 | 21 |
| Final Examination | 1 | 30 | 1 | 31 |
| TOTAL WORKLOAD (hours) | 122 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | |
OÇ-1 | 4 | 3 | 3 | 3 | 4 | 5 | 5 | 3 | 2 | 4 | 4 | 4 |
OÇ-2 | 4 | 3 | 3 | 3 | 4 | 5 | 5 | 5 | 2 | 5 | 5 | 5 |
OÇ-3 | 5 | 4 | 4 | 3 | 5 | 5 | 5 | 4 | 2 | 5 | 5 | 5 |
OÇ-4 | 5 | 4 | 3 | 3 | 4 | 5 | 5 | 4 | 2 | 4 | 5 | 5 |
OÇ-5 | 5 | 4 | 3 | 3 | 4 | 5 | 4 | 4 | 2 | 4 | 5 | 5 |