Rapor Tarihi: 27.03.2026 02:48
| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Econometrics I | ECON301 | Turkish | Compulsory | 5. Semester | 3 + 0 | 3.0 | 5.0 |
| Prerequisite Courses | |
| Course Level | Undergraduate |
| Mode of delivery | Face to face. |
| Course Coordinator | Doç. Dr. Ömer LİMANLI |
| Instructor(s) | |
| Goals | This course provides an introduction to econometric methods with an emphasis on the application of regression analysis to real-world economic problems. The course begins with the foundations of econometric reasoning and the simple regression model, then progresses to the multiple regression framework, covering estimation, inference, and the asymptotic properties of Ordinary Least Squares (OLS). Building on this foundation, the course addresses advanced topics including the use of dummy variables to capture qualitative information, the detection and treatment of heteroskedasticity, and key specification and data issues that arise in applied work. Throughout the course, students develop the ability to formulate testable economic hypotheses, estimate appropriate econometric models, evaluate the validity of underlying assumptions, and interpret empirical results within an economic context. By the end of the course, students are expected to acquire a solid command of cross-sectional regression analysis and to be prepared for more advanced econometric techniques covered in subsequent courses. |
| Course Content | The course content consists of an analysis of simple and multiple regression analysis from various perspectives. |
| # | Öğrenme Kazanımı |
| 1 | Explain the fundamental concepts, goals, and assumptions underlying econometric analysis and the role of econometrics in empirical economic research. |
| 2 | Estimate simple and multiple linear regression models using Ordinary Least Squares (OLS) and interpret the estimated coefficients in an economic context. |
| 3 | Conduct hypothesis testing and construct confidence intervals for regression parameters using both exact and asymptotic inference procedures. |
| 4 | Assess the validity of the Classical Linear Model assumptions and diagnose potential violations such as heteroskedasticity, multicollinearity, and specification errors. |
| 5 | Apply appropriate remedial techniques when classical assumptions are violated, including heteroskedasticity-robust standard errors and model respecification strategies. |
| 6 | Incorporate qualitative information into regression models using dummy variables and interpret the resulting coefficients correctly. |
| 7 | Analyze real-world economic data using econometric software and communicate empirical findings in a structured and coherent manner. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Introduction to Econometrics | Preparation, After Class Study |
| 2. Week | Simple Regression | Preparation, After Class Study |
| 3. Week | Simple Regression (Continued) | Preparation, After Class Study |
| 4. Week | Multiple Regression - Estimation | Preparation, After Class Study |
| 5. Week | Multiple Regression - Estimation (Continued) | Preparation, After Class Study |
| 6. Week | Multiple Regression - Inference | Preparation, After Class Study |
| 7. Week | Multiple Regression - Inference (Continued) | Preparation, After Class Study |
| 8. Week | Multiple Regression - Asymptotic Properties of the OLS | Preparation, After Class Study |
| 9. Week | Multiple Regression - Advanced Topics | Preparation, After Class Study |
| 10. Week | Multiple Regression - Advanced Topics (Continued) | Preparation, After Class Study |
| 11. Week | Dummy Variables | Preparation, After Class Study |
| 12. Week | Heteroskedasticity | Preparation, After Class Study |
| 13. Week | More on Specification and Data Issues | Preparation, After Class Study |
| 14. Week | More on Specification and Data Issues (Continued) | Preparation, After Class Study |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Know the basic concepts of economics at an advanced level; can abstract the economic decision-making units in households, firms, government agencies, and predict the results of their decision-making mechanisms in different market and competition conditions. | ✔ | |||||
| 2 | Understand the objectives of economies such as growth, employment, productivity, sustainability; may propose solutions to problems such as unemployment, contraction, inflation, high interest rates and similar problems. | ✔ | |||||
| 3 | Capable to make sense of the international interactions of national economies with an international economic perspective. | ✔ | |||||
| 4 | Have knowledge about the historical development of the world economy and its current structure, understand the working process of different economic systems. | ✔ | |||||
| 5 | Can combine economic theory with mathematical, statistical and econometric skills to analyze concrete situations; are experienced in economic data collection and analysis methods by utilyzing technology. | ✔ | |||||
| 6 | Analyze the different sectors of the economy such as agriculture, industry and services through the Production Factors such as Labor, Capital, Natural Resource, Information and Entrepreneurship and evaluate the country economies. | ✔ | |||||
| 7 | Know the current status, historical background, the strengths and weaknesses of Turkish economy in macro and micro scale; can propose solutions, make theoretical and applied studies in this direction as individuals and teams. | ✔ | |||||
| 8 | Know the relations of economics as a social science with other sciences especially with politics, business administration, law, history, mathematics and engineering; reflect the theoretical knowledge in practice and have collaborative working culture. | ✔ | |||||
| 9 | Have the consciousness of lifelong learning, use the education to keep knowledge updated and contribute to the business life. | ✔ | |||||
| 10 | Have the cultural consciousness, know their own history, develop awareness of working with different cultures, respect individual, social and cultural rights. | ✔ | |||||
| 11 | Behave in accordance with ethical values in their works, have the ability of questioning, free thinking with no prejudices. | ✔ | |||||
| 12 | Have the consciousness of fulfilling the given tasks at the right time. In this process, utilize in maximum written, visual, audio sources and information-communication technologies. | ✔ | |||||
| 13 | Have the experience and ability to explain what they learn in written, oral and visual manner. | ✔ | |||||
| 14 | Use the Turkish and English language properly and effectively, and pursue professional readings in double language. | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 | DK4 | DK5 | DK6 | DK7 |
|---|---|---|---|---|---|---|---|
| PY1 | 3 | 3 | 2 | 2 | 2 | 3 | 3 |
| PY2 | 2 | 2 | 1 | 1 | 2 | 2 | 2 |
| PY3 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| PY4 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| PY5 | 4 | 5 | 5 | 5 | 5 | 5 | 5 |
| PY6 | 1 | 2 | 1 | 1 | 1 | 2 | 2 |
| PY7 | 1 | 2 | 1 | 1 | 1 | 2 | 2 |
| PY8 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
| PY9 | 2 | 2 | 2 | 3 | 3 | 2 | 3 |
| PY10 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| PY11 | 2 | 2 | 2 | 3 | 2 | 2 | 3 |
| PY12 | 1 | 3 | 3 | 3 | 3 | 3 | 4 |
| PY13 | 2 | 3 | 3 | 3 | 3 | 3 | 4 |
| PY14 | 2 | 2 | 2 | 2 | 2 | 2 | 3 |
| Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
|---|---|
| Diğer Kaynaklar |
|
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Ders İçi |
Class Hours | 14 | 3 | 42 |
|
Ders Dışı |
Preparation, After Class Study | 14 | 3 | 42 |
| Research | 13 | 3 | 39 | |
| Interview | 1 | 2 | 2 | |
|
Sınavlar |
Midterm | 1 | 1 | 1 |
| Final | 1 | 1.5 | 1.5 | |
| Total Workload | 127.5 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 5.0 | ||
