Türkçe | English
 FACULTY of SCIENCE / DEPARTMENT of STATISTICS and COMPUTER SCIENCES Course Catalog http://www.ktu.edu.tr/isbb Phone: +90 0462 +90 (462) 3773112 FENF
FACULTY of SCIENCE / DEPARTMENT of STATISTICS and COMPUTER SCIENCES /

 IST4025 Econometrics 4+0+0 ECTS:6 Year / Semester Fall Semester Level of Course First Cycle Status Compulsory Department DEPARTMENT of STATISTICS and COMPUTER SCIENCES Prerequisites and co-requisites None Mode of Delivery Face to face Contact Hours 14 weeks - 4 hours of lectures per week Lecturer Prof. Dr. Türkan ERBAY DALKILIÇ Co-Lecturer PROF. DR. Zafer KÜÇÜK Language of instruction Turkish Professional practise ( internship ) None The aim of the course: To teach the basic concepts and applications in business.
 Learning Outcomes CTPO TOA Upon successful completion of the course, the students will be able to : LO - 1 : get some basic economic concepts about economic formation. 1,2,3,4,5,9,11 1 LO - 2 : apply basic economic models to economics 1,2,3,6,7,8,10 1 LO - 3 : compare different ecomomic models 2,3,5,9,11 1 LO - 4 : make inferences from economical models 1,2,4,6,9,11 1 CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome
 Contents of the Course
 Linear regression model, multicollinearity, changing variance and the problem of autocorrelation, the method of generalized minimum squares, trend, seasonality and estimation, time series methods, changing coefficient models.
 Course Syllabus Week Subject Related Notes / Files Week 1 Variable deregression models The nature of single regression analysis Week 2 Two variable regression analysis, some basıc ideas Week 3 Two variable regression model:The problem of estimation ordinary minimum squares Week 4 The normality assumption:classical normal linear regression model The probability of distribution of disturbance Week 5 The normality assumption Proporties of OLS estimations under normal assumption Week 6 Applications Week 7 Two-variable regression:Interval estimation and hypothesis testings Interval estimation: some basic concepts Week 8 Hypothesis testings:The testing of the approach to meaningfulnes level Hypothesis testing:some practical aspects Week 9 Mid-term exam Week 10 Reporting the results of regression analysis Week 11 extention of two-variable linear regression model Regression through the origin Week 12 Functional forms of regression model Log-log, double -log, log-linear,or constant elasticity models Week 13 Modelin varsayımları:Çoklu regresyon modelinin yorumu Assumption of the model:intrepretation of multiple regression equation Week 14 The meaning of Partial regression coefficians Week 15 OLS and ML estimations of the partial regression coefficiants Week 16 End-of-term exam
 Textbook / Material
 1 Terzi, Harun; Zengin Hilmi.2003;Temel Ekonometri Derya yayınevi, Trabzon