
Description of Individual Course UnitsCourse 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, semilog and loglog 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 corequisities  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  
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, semilogaritmic, loglog 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   
 Recommended or Required Reading  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., EkonometriTemel Kavramlar
5) Gujarati, D., Çeviren: Bolatoğlu, N., Örneklerle Ekonometri
 Planned Learning Activities and Teaching Methods   Assessment Methods and Criteria   Language of Instruction  Turkish  Work Placement(s)   
 Workload Calculation 

Midterm Examination  1  2  2  Final Examination  1  2  2  Attending Lectures  14  4  56  Practice  2  5  10  Self Study  16  3  48  Individual Study for Homework Problems  16  2  32  
Contribution of Learning Outcomes to Programme Outcomes  LO1  5  4  4  4   4     4    4  5     4   4     4  LO2  5  5  4   5   4    5    4  5     5   4  5    5  LO3  5  5  4   5   4    5    4  5     5   4  5    5  LO4  5  5  4   5   4    5    4  5     5   4  5    5  LO5  5  5  4   5   4    5    4  5    4  5   4  5    5  LO6  5  5  4   5   4    5    4  5     5   4  5    5 
 * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High 



Ege University, Bornova  İzmir / TURKEY • Phone: +90 232 311 10 10 • email: intrec@mail.ege.edu.tr 
