COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
Econometrics I ECMZ   407 7 3 3 5

Prerequisites and co-requisites
Recommended Optional Programme Components None

Language of Instruction English
Course Level First Cycle Programmes (Bachelor's Degree)
Course Type
Course Coordinator Assist.Prof.Dr. Cevat BİLGİN
Instructors
Yrd.Doç.Dr.CEVAT BİLGİN1. Öğretim Grup:A
 
Assistants
Goals
Providing theoretical equipment in analyzing economics relations. For this aim, understanding econometric definitions and concepts, doing statistical analysis and explaiing these.
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

Learning Outcomes
1) Explaining the concept of regression
2) Explaining two-variable regression and imposing OLS estimatin method
3) Analysing statistical inference for two-variable regression model
4) Explaining various functional forms of regression models
5) Defining multivariate regression model and statistical inference
6) Explaining dummy variable regression models, estimation and statistical inference
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Course's Contribution To Program
NoProgram Learning OutcomesContribution
12345
1
Explain the importance of demand and supply in economy sciece and the well-running conditions of the market economy
X
2
Define the role of pricing within the event advantage of the market economy
X
3
Define the role of the state in economy, money and financial policies, the central bank and the structure of the market
X
4
Perceive the costs and benefits arising from the global economy
5
Produce nymerical and policy options when confronted with problems
X
6
Use quantitative and qualitative techniques of model building, decoding and interpretation
X
7
Use the theory of economics in the analysis of economic events
X
8
Use computer programs, do synthesis and present prepared data efficiently
X
9
Apply the methods of economic analysis.
X
10
Analyze at conceptual level and aquire abiliy in comparing, interpreting, evaluating and synthesizing in order to develop solutions to problems
11
Take responsibility individually and/or in a team, take leadership and work effectively
12
Follow innovative developments in the field being aware of the necessity of lifelong learning and improving him-/herself
X
13
Use of different sources about an unfamiliar field within academic principles, synthesize gained data and present effectively
14
Use Turkish and at least one foreign language in accordance with the requirements of academic and work life
15
Understand and interpret related peoples´ feelings, thoughts and behaviours correctly; express him-/herself accurately in written and oral language
16
Question traditional attitudes, applications and methods, develop and apply new methods when needed.
17
Recognize and apply social, scientific and professional ethical values.
X

Course Content
WeekTopicsStudy Materials _ocw_rs_drs_yontem
1 The content of the concept of regression and basic information reading the textbook Lecture
2 Introduction to the estimation of two-variable regression reading the textbook Lecture
3 The content of LS estimation method, its assumptions and practicing the method reading the textbook Lecture
Drilland Practice
4 Properties of LS estimators reading the textbook Lecture
Drilland Practice
5 Confidence Interval estimation for two-variable regression model reading the textbook Lecture
Drilland Practice
6 Hypothesis testing for two-variable regression model reading the textbook Lecture
Drilland Practice
7 Functional forms of regression models reading the textbook Lecture
Drilland Practice
8 Midterm Exam Studying the course content Testing
9 Introduction to multivariate regression analysis reading the textbook Lecture
Drilland Practice
10 The problem of estimation in multivariate regression model reading the textbook Lecture
Drilland Practice
11 Confidence interval and hypothesis tests in multivariate regression models reading the textbook Lecture
Drilland Practice
12 Restricted least squares: testing linear equality restirictions reading the textbook Lecture
Drilland Practice
13 Testing structural stability of regression models: The Chow test reading the textbook Lecture
Drilland Practice
14 Introduction to dummy variable regression models and ANOVA models reading the textbook Lecture
Drilland Practice
15 ANCOVA models, structural stability test by using dummies and seasonal dummy variables reading the textbook Lecture
Drilland Practice
16-17 Final Exam Studying the whole course content Testing

Recommended or Required Reading
Textbook
Additional Resources