ECMZ301 Econometrics I

5 ECTS - 3-0 Duration (T+A)- 5. Semester- 3 National Credit

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
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

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

Update Time: 08.05.2024 12:32