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• Information on Degree Programmes COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
Econometrics I ECMZ   301 5 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 BİLGİN 1. 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
Explains Econometric concepts
X
2
Acquires basic Mathematics, Statistics and Operation Research concepts
X
3
Equipped with the foundations of Economics, and develops Economic models
X
4
Describes the necessary concepts of Business
5
Models problems with Mathematics, Statistics, and Econometrics
X
6
Estimates the model consistently and analyzes & interprets its results
X
7
Acquires the ability to analyze, benchmark, evaluate and interpret at conceptual levels to develop solutions to problems
X
8
Collects, edits, and analyzes data
X
9
Uses a package program of Econometrics, Statistics, and Operation Research
X
10
Effectively works, take responsibility, and the leadership individually or as a member of a team
11
Awareness towards life-long learning and follow-up of the new information and knowledge in the field of study
12
Develops the ability of using different resources in the form of academic rules, synthesis the information gathered, and effective presentation in an area which has not been studied
X
13
Uses Turkish and at least one other foreign language, academically and in the business context
14
Good understanding, interpretation, efficient written and oral expression of the people involved
15
Improves his/herself constantly by defining educational requirements considering interests and talents in scientific, cultural, art and social fields besides career development
16
Questions traditional approaches and their implementation while developing alternative study programs when required
17
Recognizes and implements social, scientific, and professional ethic values
18
Follows actuality, and interprets the data about economic and social events
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
Discussion
3 The content of LS estimation method, its assumptions and practicing the method reading the textbook Lecture
Discussion
Drilland Practice
4 Properties of LS estimators reading the textbook Lecture
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
8 Midterm Exam Studying the course content Testing
9 Introduction to multivariate regression analysis reading the textbook Lecture
10 The problem of estimation in multivariate regression model reading the textbook Lecture
Discussion
11 Confidence interval and hypothesis tests in multivariate regression models reading the textbook
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
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  