TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	5
NAME OF LECTURER(S)	-
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Topic of econometrics 2) Regression Models 3) Multicollinearity 4) Autocorrelation
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	Econometrics is a discipline that is a mixture of economic theory, mathematical economic, economical statistics and mathematical statistics. Course will include topic of econometrics, main stages in econometrics researches, data types using econometrics analysis, model equations, variables of model, according to functions-construction- dimension to time and condition to indefiniteness models, linear, parabolic, semi log and double log models, simple and multiple linear regression models, multicollinearity and autocorrelation
COURSE CONTENTS	WEEK TOPICS 1st Week Topic of econometrics, main stages in econometrics researches, data types using econometrics analysis 2nd Week Model equations, variables of model, according to functions- construction- dimension to time and condition to indefiniteness models 3rd Week Model equations, variables of model, according to functions- construction- dimension to time and condition to indefiniteness models 4th Week Linear, parabolic, semi log and double log models 5th Week Linear, parabolic, semi log and double log models 6th Week Simple linear regression model, estimators of ordinary least squares, interval estimation and hypothesis tests 7th Week Simple linear regression model, estimators of ordinary least squares, interval estimation and hypothesis tests 8th Week MIDTERM I 9th Week Basic linear regression model, estimators of ordinary least squares, interval estimation and hypothesis tests 10th Week Multiple linear regression model, estimators of ordinary least squares, interval estimation and hypothesis tests 11th Week Multiple linear regression model, estimators of ordinary least squares, interval estimation and hypothesis tests 12th Week Multicollinearity and autocorrelation. 13th Week Multicollinearity and autocorrelation. 14th Week MIDTERM II
RECOMENDED OR REQUIRED READING	Gujarati D. N. (Çeviri: Şenesen Ü. ve Şenesen G. G.), 1999, Temel Ekonometri, Literatür Yayıncılık.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Questions/Answers,Case Study,Problem Solving
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 2 50 Assignment 5 5 Quiz 5 5 Total(%) 60 Contribution of In-term Studies to Overall Grade(%) 60 Contribution of Final Examination to Overall Grade(%) 40 Total(%) 100
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No