Education Information System

Course Title	Code	Semester	L+U Hour	Credits	ECTS
Econometrics I	İKT301	5. Semester	3 + 0	3.0	5.0

Prerequisites

None

Language of Instruction	Turkish
Course Level	Undergraduate
Course Type
Mode of delivery	Face to face.
Course Coordinator	Assist. Prof. Dr. HANDE ÇALIŞKAN TERZİOĞLU
Instructors	HANDE ÇALIŞKAN TERZİOĞLU
Assistants
Goals	The aim of this course is to understand the measurability and testability of economic theories.
Course Content	Simple regression model, LCM estimation, assumptions and functioning, properties of LCM estimators, Hypothesis tests, multiple regression estimation and testing methods, alternative functions used in the regression model, deviations from the basic assumption.
Learning Outcomes	- Economic model building methods are learned. - The behavioral relationship between economic variables is established. - Econometric model building methods and assumptions are learned.

Week	Topics	Learning Methods
1. Week	Introduction to Econometrics	Verbal Expression Visual Presentation
2. Week	Simple Regression – Least Squares Method, Assumptions and Operation	Verbal Expression Visual Presentation Preparation, After Class Study
3. Week	Simple Regression – Least Squares Method, Assumptions and Operation	Preparation, After Class Study Visual Presentation Verbal Expression
4. Week	Simple Regression – Parameter Significance Tests, Practice	Preparation, After Class Study Visual Presentation Verbal Expression
5. Week	Desired Features of LCM Estimators, Hypothesis Tests, Estimation and Practice	Visual Presentation Preparation, After Class Study Verbal Expression
6. Week	Multiple Regression Analysis – Model, Estimation and Interpretation, Practice	Verbal Expression Preparation, After Class Study Visual Presentation
7. Week	Multiple regression analysis: Expected value and variance of LCM estimators, Gauss-Markov theorem	Preparation, After Class Study Visual Presentation Verbal Expression
8. Week	MIDTERM EXAM
9. Week	Multiple Regression Analysis – Significance Tests, Confidence interval, hypothesis testing for linear combinations of parameters, multiple linear constraint testing	Visual Presentation Preparation, After Class Study Verbal Expression
10. Week	Multiple regression analysis: Effect of scaling of data on LCM estimators and functional forms, selection of explanatory variables, analysis of estimation and errors, practice	Verbal Expression Preparation, After Class Study Visual Presentation
11. Week	Deviations from Basic Assumptions, Multicollinearity, Heteroscedasticity	Visual Presentation Preparation, After Class Study Verbal Expression
12. Week	Deviations from Basic Assumptions, Autocorrelation	Verbal Expression Visual Presentation Preparation, After Class Study
13. Week	Functional Forms in Regression Models	Preparation, After Class Study Verbal Expression Visual Presentation
14. Week	Solution of Regression Model with Matrices, Practice	Verbal Expression Research Visual Presentation

Tarı, Recep. (2015). Ekonometri, 11. Baskı, Umuttepe Yayınları

Program Requirements	Contribution Level	DK1	DK2	DK3	Measurement Method
PY1	5	5	5	5	-
PY2	5	5	5	5	-
PY3	4	5	5	5	-
PY4	3	2	2	2	-
PY5	5	5	5	5	-
PY6	4	4	4	4	-
PY7	5	3	3	3	-
PY8	4	2	2	2	-
PY9	4	4	4	4	-
PY10	1	4	4	4	-
PY11	2	4	4	4	-
PY12	2	0	0	0	-
PY13	1	5	5	5	-
PY14	1	2	2	2	-

*DK = Course's Contrubution.

	0	1	2	3	4	5
Course's Level of contribution	None	Very Low	Low	Fair	High	Very High
Method of assessment/evaluation		Written exam	Oral Exams	Assignment/Project	Laboratory work	Presentation/Seminar

Event	Quantity	Duration (Hour)	Total Workload (Hour)
Midterm 1	1	20	20
Homework 1	14	2	28
Homework 2	1	7.5	7.5
Final	1	30	30
Classroom Activities	14	3	42
Total Workload			127.5
ECTS Credit of the Course			25.5 5.0