TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES |
| ECONOMICS PR. (ENGLISH) | |
| Code | ECMZ407 |
| Name | Econometrics I |
| Term | 2024-2025 Academic Year |
| Semester | 7. 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 | FE Field Education Courses C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Yrd.Doç.Dr. CEVAT BİLGİN |
| Course Instructor |
Arş.Gör.Dr. SERA ŞANLI
(Güz)
(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
There are no prerequisites for the course
Resources
Hill, C., Griffiths, W., & Judge, G. (2001). Undergraduate econometrics (2nd ed.). John Wiley & Sons.
Notes
Gujarati, D. N. (2003). Basic econometrics (4th ed.). McGraw-Hill.
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 importance of demand and supply in economy sciece and the well-running conditions of the market economy | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Define the role of pricing within the event advantage of the market economy | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Define the role of the state in economy, money and financial policies, the central bank and the structure of the market | 2 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Perceive the costs and benefits arising from the global economy | 2 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Produce nymerical and policy options when confronted with problems | 4 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Use quantitative and qualitative techniques of model building, decoding and interpretation | |
| PLO07 | Bilgi - Kuramsal, Olgusal | Use the theory of economics in the analysis of economic events | 4 |
| PLO08 | Bilgi - Kuramsal, Olgusal | Use computer programs, do synthesis and present prepared data efficiently | 5 |
| PLO09 | Bilgi - Kuramsal, Olgusal | Apply the methods of economic analysis. | |
| PLO10 | Bilgi - Kuramsal, Olgusal | Analyze at conceptual level and aquire abiliy in comparing, interpreting, evaluating and synthesizing in order to develop solutions to problems | 5 |
| PLO11 | Bilgi - Kuramsal, Olgusal | Take responsibility individually and/or in a team, take leadership and work effectively | 2 |
| PLO12 | Beceriler - Bilişsel, Uygulamalı | Follow innovative developments in the field being aware of the necessity of lifelong learning and improving him-/herself | |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Use of different sources about an unfamiliar field within academic principles, synthesize gained data and present effectively | 3 |
| PLO14 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Use Turkish and at least one foreign language in accordance with the requirements of academic and work life | |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Understand and interpret related peoples´ feelings, thoughts and behaviours correctly; express him-/herself accurately in written and oral language | |
| PLO16 | Yetkinlikler - Öğrenme Yetkinliği | Question traditional approaches, practices and methods. | 2 |
| PLO17 | Yetkinlikler - Öğrenme Yetkinliği | Recognize and apply social, scientific and professional ethical values. | 3 |
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 |
| 3 | The content of LS estimation method, its assumptions and practicing the method | reading the textbook | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 4 | Properties of LS estimators | reading the textbook | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 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, Tartışma |
| 7 | Functional forms of regression models | reading the textbook | Öğretim Yöntemleri: Alıştırma ve Uygulama, Tartışma |
| 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, Alıştırma ve Uygulama |
| 11 | Confidence interval and hypothesis tests in multivariate regression models | reading the textbook | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 12 | Restricted least squares: testing linear equality restirictions | reading the textbook | Öğretim Yöntemleri: Anlatım, Tartışma |
| 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, Alıştırma ve Uygulama |
| 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 |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
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 | ||