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Information
| Unit | FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES |
| ECONOMICS PR. | |
| Code | EKMZ407 |
| 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 | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Label | FE Field Education Courses C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. HASAN ALTAN ÇABUK |
| Course Instructor |
Doç. Dr. ÇİLER SİGEZE GÜNEY
(Güz)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
This course Econometrics, Economics and Finance Sections are registered with the knowledge of basic mathematics and statistics İ.İ.B. School aims to teach students the methods of basic econometrics. This course titles contained in the above-mentioned branches of econometric applications for students who want to do the research aims to support their work areas
Course Content
The subject of econometrics, its history, some basic mathematical and statistical rules will be analyzed. Putting economic theory into a mathematical mold, simple classical linear regression model, multiple classical linear regression model, some deviations from the classical linear regression model, some other issues related to linear regression will be examined.
Course Precondition
There are no course prerequisites.
Resources
Tansel, A. (2015). Ekonometriye Giris, Modern Yaklasim. METU Studies in Development, 42(2), 333. Dougherty, C. (2011). Introduction to econometrics. Oxford university press, USA.
Notes
Lecture note
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explaining the concept of regression |
| LO02 | Applies the OLS estimation method in the two-variable regression model |
| LO03 | Makes statistical inferences for two-variable regression model |
| LO04 | Explain various functional forms of regression models |
| LO05 | Makes statistical inferences with a multivariate regression model |
| LO06 | Have the ability to analyze, compare, evaluate and interpret at a conceptual level to develop solutions to problems. |
| LO07 | Collects, organizes and analyzes data |
| LO08 | Takes responsibility individually and / or in a team, takes leadership and works effectively |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explain the importance of demand and supply in economy science 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. | 5 |
| 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. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Perceive the costs and benefits arising from the global economy | |
| PLO05 | Bilgi - Kuramsal, Olgusal | Produce numerical and policy options when confronted with problems. | 4 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Use quantitative and qualitative techniques of model building, decoding and interpretation. | 5 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Use the theory of economics in the analysis of economic events. | 5 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Use computer programs, do synthesis and present prepared data efficiently. | 5 |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Apply the methods of economic analysis. | |
| PLO10 | Bilgi - Kuramsal, Olgusal | Analyze at conceptual level and acquires ability in comparing, interpreting, evaluating and synthesizing in order to develop solutions to problems | |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Use of different sources about an unfamiliar field within academic principles, synthesize gained data and presents effectively. | 5 |
| PLO12 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Take responsibility individually and / or in a team, take leadership and work effectively. | |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Follow innovative developments in the field being aware of the necessity of lifelong learning and improving him-/herself.. | |
| PLO14 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Use Turkish and at least one foreign language in accordance with the requirements of academic and work life. | |
| PLO15 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Understand and interpret related people´s feelings, thoughts, and behaviours correctly; expresse him-/herself accurately in written and oral language. | |
| PLO16 | Yetkinlikler - Alana Özgü Yetkinlik | Question traditional approaches, practices and methods. | |
| PLO17 | Yetkinlikler - Alana Özgü Yetkinlik | Recognize and apply social, scientific and professional ethical values. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Subject of Econometrics and History of Econometrics | Students will be prepared by studying relevant subjects from source books according to weekly program | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 2 | Some Basic Mathematics and Statistics Rules | Students will be prepared by studying relevant subjects from source books according to weekly program | Öğretim Yöntemleri: Anlatım |
| 3 | Mathematical form for Economics Theory | Students will be prepared by studying relevant subjects from source books according to weekly program | Öğretim Yöntemleri: Soru-Cevap |
| 4 | Simple Linear Regression Model: OLS Estimation | Students will be prepared by studying relevant subjects from source books according to weekly program | Öğretim Yöntemleri: Anlatım, Problem Çözme, Alıştırma ve Uygulama |
| 5 | Simple Linear Regression Model: Properties of Econometrics and Assumptions | Students will be prepared by studying relevant subjects from source books according to weekly program | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 6 | Simple Linear Regression Model: Interval Estimation, Forecast, Test of Hypotesis | Students will be prepared by studying relevant subjects from source books according to weekly program | Öğretim Yöntemleri: Anlatım, Problem Çözme, Alıştırma ve Uygulama |
| 7 | Making Problem solving | Students will be prepared by studying relevant subjects from source books according to weekly program | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 8 | Mid-Term Exam | exam | Ölçme Yöntemleri: Yazılı Sınav, Ödev |
| 9 | Multiple Linear Regression Model: OLS Estimation | Students will be prepared by studying relevant subjects from source books according to weekly program | Öğretim Yöntemleri: Anlatım |
| 10 | Multiple Linear Regression Model:Properties of Econometrics and Assumptions | Students will be prepared by studying relevant subjects from source books according to weekly program | Öğretim Yöntemleri: Anlatım |
| 11 | Multiple Linear Regression Model: OLS Estimation with Method of Deviation from Mean | Students will be prepared by studying relevant subjects from source books according to weekly program | Öğretim Yöntemleri: Anlatım, Problem Çözme, Alıştırma ve Uygulama |
| 12 | Multiple Linear Regression Model: Interval Estimation, Forecast, Test of Hypotesis | Students will be prepared by studying relevant subjects from source books according to weekly program | Öğretim Yöntemleri: Problem Çözme |
| 13 | Multiple Linear Regression Model: F test | Students will be prepared by studying relevant subjects from source books according to weekly program | Öğretim Yöntemleri: Anlatım, Problem Çözme, Alıştırma ve Uygulama |
| 14 | Structural equality tests: Chow Test | Students will be prepared by studying relevant subjects from source books according to weekly program | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 15 | Problem solving | Students will be prepared by studying relevant subjects from source books according to weekly program | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 16 | Final Exam | exam | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Final Exam | exam | 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 | ||