Iğdır University Lifelong Learning Programme

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type of Course Unit	Year of Study	Semester	Number of ECTS Credits
İŞL-23-139		Elective	1	1	6

Level of Course Unit

Second Cycle

Objectives of the Course

Econometrics; It conducts a curriculum in order to train mathematical economists who can produce solutions to economic problems by using economic theory, mathematical and statistical techniques. The curriculum created for this purpose includes courses such as statistics, econometrics, mathematics, micro and macro economics, international economics and business administration. In addition to the compulsory courses, the elective courses, which are offered to the students according to their own preferences, have added a versatile feature to the program. Thus, the Department of Econometrics will be able to identify econometric problems and produce solutions through interdisciplinary studies, both individually and in groups.

Name of Lecturer(s)

Dr. Öğr :Üyesi Polad ALİYEV

Learning Outcomes

1. Collecting, processing, analyzing, classifying and interpreting economic data; testing economic theory with data 2. To produce answers to various policy questions within the framework of economic principles by using econometric methods effectively. 3. To have the awareness of continuous learning with modern technology 4. Presenting the knowledge acquired during the education process in written and oral form in front of the society

Mode of Delivery

Daytime Class

Prerequisites and co-requisities

none

Recommended Optional Programme Components

none

Course Contents

1. Introduction to the economy 2. R program 3. Simple Linear Regression Model 4. Multiple Linear Regression Model 5. Regression assumptions 6. Nonlinear Regression Models and Their Constraints 7. Puppet changers 8. Identification errors Structural changes and Model selection 9. Simultaneous Equation Models 10. Time series econometrics-univariate time series 11. Time series econometrics-Multivariate time series 12. Panel Serial Econometrics-Balanced and unbalanced Panel data 13. Selection of panel data models 14. Panel Unit Root Tests

Weekly Detailed Course Contents

Week	Theoretical	Practice	Laboratory
1	1. Introduction to the economy
2	2. R program
3	3. Simple Linear Regression Model
4	4. Multiple Linear Regression Model
5	5. Regression assumptions
6	6. Nonlinear Regression Models and Their Constraints
7	7. Puppet changers
8	8. Identification errors Structural changes and Model selection
9	9. Simultaneous Equation Models
10	10. Time series econometrics-univariate time series
11	11. Time series econometrics-Multivariate time series
12	12. Panel Serial Econometrics-Balanced and unbalanced Panel data
13	13. Selection of panel data models
14	14. Panel Unit Root Tests

Recommended or Required Reading

Güriş S., Akay E.Ç. Güriş Burak R ile Temel Ekonometri

Planned Learning Activities and Teaching Methods

Assessment Methods and Criteria

Term (or Year) Learning Activities	Quantity	Weight
Midterm Examination	1	100
SUM		100
End Of Term (or Year) Learning Activities	Quantity	Weight
Final Examination	1	100
SUM		100
Term (or Year) Learning Activities		40
End Of Term (or Year) Learning Activities		60
SUM		100

Language of Instruction

Turkish

Work Placement(s)

yok

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Midterm Examination	1	1	1
Final Examination	1	1	1
Problem Solving	6	2	12
Question-Answer	6	2	12
Criticising Paper	5	4	20
Individual Study for Mid term Examination	7	6	42
Individual Study for Final Examination	10	8	80
TOTAL WORKLOAD (hours)			168

Contribution of Learning Outcomes to Programme Outcomes

	PO 1	PO 2	PO 3	PO 4	PO 5	PO 6	PO 7	PO 8	PO 9	PO 10	PO 11	PO 12	PO 13
LO1	3	4	3	4	4	3	3	4	4	3	4	3	4

* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High