ECMZ407 Econometrics I

5 ECTS - 3-0 Duration (T+A)- 7. Semester- 3 National Credit

Information

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 C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Yrd.Doç.Dr. CEVAT BİLGİN
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

There are no prerequisites for the course

Resources

Carter Hill, William Griffiths, and George Judge, Undergraduate Econometrics, 2nd Edition, John Wiley and Sons, 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 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
7 Functional forms of regression models reading the textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
8 Midterm Exam Studying the course content Ölçme Yöntemleri:
Yazılı Sınav
9 Introduction to multivariate regression analysis reading the textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
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, 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, 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


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: 07.05.2024 02:25