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Information
| Code | ECMZ301 |
| Name | Econometrics I |
| Term | 2024-2025 Academic Year |
| Semester | 5. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 5 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | İngilizce |
| Level | Lisans Dersi |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. KENAN LOPCU |
| Course Instructor |
Dr. Öğr. Üyesi FELA ÖZBEY
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The aim of this course is to enable students to gain a theoretical foundation for the use of econometrics in the analysis of economic relationships, understand econometric definitions and concepts, and apply statistical analyses to interpret the results.
Course Content
This course covers topics such as the concept of regression, bivariate regression and the OLS estimation method, assumptions of the classical linear regression model, prediction and inference in bivariate and multivariate regression models, dummy variable regression, violations of classical model assumptions and their consequences.
Course Precondition
Successful completion of Mathematics I-II, Introduction to Economics I-II and Statistics I-II.
Resources
Hill, C., Griffiths, W., & Judge, G. (2001). Undergraduate econometrics (2nd ed.). John Wiley & Sons. Hill, C., Griffiths, W., & Lim, G. C. (2011). Principles of econometrics (4th ed.). John Wiley & Sons.
Notes
Gujarati, D. N. (2003). Basic econometrics (4th ed.). McGraw-Hill. Uygur, E. (2001). Ekonometri: Yöntem ve uygulama. İmaj Yayınevi.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explaining the concept of regression |
| LO02 | Applying OLS estimation method to the two-variable regression |
| LO03 | Analysing statistical inference for two-variable regression model |
| LO04 | Explaining various functional forms of regression models |
| LO05 | Making statistical inferences of the multivariate regression model. |
| LO06 | Defining dummy variable regression models. |
| LO07 | Estimating the dummy variable regression model. |
| LO08 | Making statistical inferences for the dummy variable regression model. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explain the basic concepts and theorems in the fields of Econometrics, Statistics and Operations research | 5 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Acquires basic Mathematics, Statistics and Operation Research concepts | 5 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Describes the necessary concepts of Business | |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Equipped with the foundations of Economics, and develops Economic models | 4 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Models problems with Mathematics, Statistics, and Econometrics | 5 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Analyzes/interprets at the conceptual level to develop solutions to problems | 5 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Collects/analyses data from reliable data sources for the purpose of study | 3 |
| PLO08 | Bilgi - Kuramsal, Olgusal | Interprets the results analyzed with the model | 5 |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Combines the information obtained from different sources within the framework of academic rules in a field of research | |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | Adapts traditional approaches, practices and methods to a new study when necessary | 5 |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Uses a package program of Econometrics, Statistics, and Operation Research | |
| PLO12 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads by taking responsibility individually and/or within the team | |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | In addition to herself/himself professional development, constantly improves in scientific, cultural, artistic and social fields in line with interests and abilities | 4 |
| PLO14 | Yetkinlikler - Öğrenme Yetkinliği | Being aware of the necessity of lifelong learning, it follows the current developments in the field / constantly renews itself | |
| PLO15 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses Turkish and at least one other foreign language, academically and in the business context | |
| PLO16 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Interprets the feelings, thoughts and behaviors of the related persons correctly/expresses himself/herself correctly in written and verbal form | |
| PLO17 | Yetkinlikler - Alana Özgü Yetkinlik | Interprets data on current economic and social issues | 5 |
| PLO18 | Yetkinlikler - Alana Özgü Yetkinlik | Applies social, scientific and professional ethical values |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | The content of the concept of regression and basic information | reading the textbook | Öğretim Yöntemleri: Anlatım |
| 2 | Introduction to the estimation of two-variable regression | reading the textbook | Öğretim Yöntemleri: Anlatım, Tartışma |
| 3 | The content of LS estimation method, its assumptions and practicing the method | reading the textbook | Öğretim Yöntemleri: Anlatım, Tartışma, Alıştırma ve Uygulama |
| 4 | Properties of LS estimators | reading the textbook | Öğretim Yöntemleri: Anlatım |
| 5 | Confidence Interval estimation for two-variable regression model | reading the textbook | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 6 | Hypothesis testing for two-variable regression model | reading the textbook | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 7 | Functional forms of regression models | reading the textbook | Öğretim Yöntemleri: Anlatım |
| 8 | Midterm Exam | Studying the course content | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Introduction to multivariate regression analysis | reading the textbook | Öğretim Yöntemleri: Anlatım |
| 10 | The problem of estimation in multivariate regression model | reading the textbook | Öğretim Yöntemleri: Anlatım, Tartışma |
| 11 | Confidence interval and hypothesis tests in multivariate regression models | reading the textbook | Öğretim Yöntemleri: Anlatım |
| 12 | Restricted least squares: testing linear equality restirictions | reading the textbook | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 13 | Testing structural stability of regression models: The Chow test | reading the textbook | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 14 | Introduction to dummy variable regression models and ANOVA models | reading the textbook | Öğretim Yöntemleri: Anlatım |
| 15 | ANCOVA models, structural stability test by using dummies and seasonal dummy variables | reading the textbook | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 16 | Final Exam | Studying the whole course content | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Final Exam | Studying the whole course content | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
| Final Exam | 1 | 18 | 18 |
| Total Workload (Hour) | 114 | ||
| Total Workload / 25 (h) | 4,56 | ||
| ECTS | 5 ECTS | ||