PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
EKNM 302	ECONOMETRICS - II	3 + 0	6th Semester	5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Compulsory
Course Objective	The main aim of the course is to acquire a deep knowledge in econometrics
Course Content	Multicollinearity, Heteroscedasticity, Autocorreelation, Econometic modeling, Dummy variables, Discrete choice model, Dynamic econometric model and autoregressive models Simultaneous equations, basics of time series econometrics
Prerequisites	EKNM 301 ECONOMETRICS - I
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	specification of an adequate regression model and making parameter estimate
2	Making statistical inference
3	Choosing the best model
4	Diagnostic checking of the model
5	Using the econometrics software
6	Making prediction and forecast
7	Using the model for control and policy purposes
8	Evaluating the data

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11	PO 12
LO 001	5	5	5	5	5	5	5	5	5	5	5	5
LO 002	5	5	5	5	5	5	5	5	5	5	5	5
LO 003	5	5	5	5	5	5	5	5	5	5	5	5
LO 004	5	5	5	5	5	5	5	5	5	5	5	5
LO 005	5	5	5	5	5	5	5	5	5	5	5	5
LO 006	5	5	5	5	5	5	5	5	5	5	5	5
LO 007	4	4	4	4	4	4	4	5	5	5	5	5
LO 008	4	4	4	4	4	5	5	5	5	5	5	5
Sub Total	38	38	38	38	38	39	39	40	40	40	40	40
Contribution	5	5	5	5	5	5	5	5	5	5	5	5

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	4	56
Hours for off-the-classroom study (Pre-study, practice)	14	2	28
Assignments	1	10	10
Mid-terms	1	15	15
Final examination	1	21	21
Total Work Load ECTS Credit of the Course			130 5

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
EKNM 302	ECONOMETRICS - II	3 + 0	3	Turkish	2023-2024 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Assoc. Prof. Dr. AYGÜL ANAVATAN	aanavatan@pau.edu.tr		İİBF C0207	%70

Goals		The main aim of the course is to acquire a deep knowledge in econometrics
Content		Multicollinearity, Heteroscedasticity, Autocorreelation, Econometic modeling, Dummy variables, Discrete choice model, Dynamic econometric model and autoregressive models Simultaneous equations, basics of time series econometrics

Topics

Materials

Materials are not specified.

Resources

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	60	Final Exam
Midterm Exam	40	Midterm Exam

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student