          Description of Individual Course Units
 Course Unit Code Course Unit Title Type of Course Unit Year of Study Semester Number of ECTS Credits İST424 ECONOMETRIC MODELS Elective 4 8 5
Level of Course Unit
First Cycle
Objectives of the Course
Applying the mathematics and statistics information to economic data.
Name of Lecturer(s)
Dr.Öğr.Üyesi Özge Elmastaş Gültekin
Learning Outcomes
 1 Having knowledge of some basic mathematics and statistics rules. 2 Studying the basic and multiple linear regression. 3 Setting linear, parabolic, semi-log and log-log models. 4 Contructing multiple regression model, making an estimation and hypothesis tests, learning their matrix solution techniques. 5 Studying the deviations of the classical linear regression model assumptions (Normality, multicollinearity, heteroscedasticity, autocorrelation, spesification errors). 6 Constructing the models with dummy variables, examining the simultaneous equation models, dynamic econometric models and panel data analysis, understanding the logistic regression.
Mode of Delivery
Face to Face
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Having knowledge of some basic mathematics and statistics rules, setting various econometric model forms, realizing the econometric models which involve one independent variables, contructing multiple regression model, making an estimation and hypothesis tests, learning their matrix solution techniques, studying the deviations of the classical linear regression model assumptions, constructing the models with dummy variables, examining the simultaneous equation models, dynamic econometric models and panel data analysis, understanding the logistic regression.
Weekly Detailed Course Contents
 Week Theoretical Practice Laboratory 1 Introducing the course and explaining the content of the course. 2 The subject of econometrics, some basic mathematics and statistics information, micro, macro and sectoral models. 3 Basic linear regression model 4 Multiple linear regression model 5 Econometric model forms(Linear, parabolic, semi-logaritmic, log-log models) 6 Examining the Normality assumption 7 Examining the Multicollinearity assumption 8 Midterm 9 Examining the Heteroscedasticity assumption 10 Examining the Autocorrelation assumption 11 Models with dummy variables 12 Logistic regression 13 Simultaneous equation models 14 Panel data analysis 15 Dynamic econometric models 16 Final examination
1) Ertek, T., Ekonometriye giriş 2) Tarı,R., Ekonometri 3) Gujarati, D.N. & Dawn, C.P., Çevirenler: Şenesen, Ü., Günlük Şenesen, G., Temel Ekonometri 4) Güriş, S., Çağlayan, E., Ekonometri-Temel Kavramlar 5) Gujarati, D., Çeviren: Bolatoğlu, N., Örneklerle Ekonometri
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
 Term (or Year) Learning Activities Quantity Weight SUM 0 End Of Term (or Year) Learning Activities Quantity Weight SUM 0 SUM 0
Language of Instruction
Turkish
Work Placement(s)
- 