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Information
| Code | ECMZ301 |
| Name | Econometrics I |
| Term | 2023-2024 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 |
Arş.Gör.Dr. SERA ŞANLI
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
Providing theoretical equipment in analyzing economics relations. For this aim, understanding econometric definitions and concepts, doing statistical analysis and explaiing these.
Course Content
Two-variable regresssiıon and LS estimation method, classical linear regression model assumptions, estimation and statistical inference in regression models, regressions with dummy variables, violations of classical models assumptions
Course Precondition
Successful completion of Mathematics I-II, Introduction to Economics I-II and Statistics I-II.
Resources
Carter Hill, William Griffiths, and George Judge, Undergraduate Econometrics, 2nd Edition, John Wiley and Sons, 2001. Carter Hill, William Griffiths, and Guay C. Lim, Principles of Econometrics, 4rth Edition, John Wiley and Sons, 2011. Damodar N. Gujarati, Basic Econometrics, 4th edition, McGraw-Hill, 2003 (BE). Ercan Uygur, Ekonometri: Yöntem ve Uygulama, İmaj Yayınevi, Ankara, 2001 .
Notes
Lecture Notes
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 | Has the ability to analyze/interpret at the conceptual level to develop solutions to problems | 5 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Collects/analyses data | 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 which does not research | |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | It develops traditional approaches, practices and methods into new working methods when it deems necessary | 5 |
| PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads by taking responsibility individually and/or within the team | |
| PLO12 | 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 |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Being aware of the necessity of lifelong learning, it follows the current developments in the field / constantly renews itself | |
| PLO14 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses a package program of Econometrics, Statistics, and Operation Research | |
| 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 | ||