Akademik Dersler - Tanıtım


Code - Course Title	İKT346 - Econometrics I
Course Type	Required Courses
Language of Instruction	İngilizce
Laboratory + Practice	4+0
ECTS	6.0
Course Instructor(s)	PROFESÖR DOKTOR YELİZ MERT KANTAR
Mode of Delivery	The mode of delivery of this course is Face to face
Prerequisites	There is no prerequisite or co-requisite for this course.
Courses Recomended	There is no recommended optional programme component for this course.
Required or Recommended Resources	Kleinbaum, D. G., Kupper, L. L., Muller, K. E., Applied Regression Analysis and Other Multivariate Methods, 3rd Edition, Duxbury Press, 1998.
Recommended Reading List
Assessment methods and criteria	2 midterms 1 final exam
Work Placement	N/A
Sustainability Development Goals

Weeks	Topics
Week - 1	Conditional expectation and regression concept
Week - 2	Simple linear regression model and ordinary least squares (OLS) estimators of parameters
Week - 3	Assumptions of linear regression; Properties of OLS estimators
Week - 4	Gauss-Markov teoremi
Week - 5	Hypothesis testing and confidence intervals in simple linear regression
Week - 6	Belirlilik Katsayısı;
Week - 7	Multiple linear regression model in Matrix notation
Week - 8	Hypothesis testing and confidence intervals in multiple linear regression
Week - 9	Göstermelik (dummy) Değişken
Week - 10	Checking the assumptions (residual analysis)
Week - 11	Multicollinearity
Week - 12	Variable selection
Week - 13	Heteroscedasticity; Autocorrelation.
Week - 14	Applications

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
Toplam (%)		0