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FIRST CYCLE - BACHELOR'S DEGREE
FACULTY OF ECONOMICS & ADMINISTRATIVE SCIENCES
ECONOMICS DEPARTMENT
218 ECONOMICS (Evening Classes)
Course Information
Course Learning Outcomes
Course's Contribution To Program
ECTS Workload
Course Details
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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
No the prerequisite of lesson.
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
4
5
4
5
5
5
5
5
5
5
5
LO 004
5
4
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
4
5
4
5
4
4
4
4
4
4
4
4
LO 007
5
5
5
5
5
5
5
5
5
5
5
5
LO 008
5
5
5
5
5
5
5
5
5
5
5
5
Sub Total
39
38
39
39
39
39
39
39
39
39
39
39
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)
13
3
39
Hours for off-the-classroom study (Pre-study, practice)
13
3
39
Assignments
1
13
13
Mid-terms
1
13
13
Final examination
1
26
26
Total Work Load
ECTS Credit of the Course
130
5
COURSE DETAILS
Select Year
All Years
2023-2024 Spring
2022-2023 Spring
2021-2022 Spring
2020-2021 Summer
2020-2021 Spring
2019-2020 Spring
2018-2019 Spring
2017-2018 Spring
2016-2017 Summer
2016-2017 Spring
2015-2016 Spring
2014-2015 Spring
2013-2014 Summer
2013-2014 Spring
2012-2013 Spring
2011-2012 Spring
Course Term
No
Instructors
Details
2023-2024 Spring
2
ÇAĞIN KARUL
Details
2022-2023 Spring
3
HALİL TUNCA
Details
2021-2022 Spring
3
FİLİZ YEŞİLYURT
Details
2020-2021 Summer
1
FİLİZ YEŞİLYURT
Details
2020-2021 Spring
4
FİLİZ YEŞİLYURT
Details
2020-2021 Spring
5
FİLİZ YEŞİLYURT
Details
2019-2020 Spring
4
FİLİZ YEŞİLYURT
Details
2019-2020 Spring
5
MEHMET İVRENDİ
Details
2018-2019 Spring
3
MUSTAFA SERDAR İSPİR
Details
2018-2019 Spring
4
MUSTAFA SERDAR İSPİR
Details
2017-2018 Spring
3
MUSTAFA SERDAR İSPİR
Details
2017-2018 Spring
4
MUSTAFA SERDAR İSPİR
Details
2016-2017 Summer
1
FİLİZ YEŞİLYURT
Details
2016-2017 Spring
5
MUSTAFA SERDAR İSPİR
Details
2016-2017 Spring
4
MUSTAFA SERDAR İSPİR
Details
2015-2016 Spring
4
HALİL TUNCA
Details
2015-2016 Spring
5
HALİL TUNCA
Details
2014-2015 Spring
3
ŞABAN NAZLIOĞLU
Details
2013-2014 Summer
2
HALİL TUNCA
Details
2013-2014 Summer
2
HALİL TUNCA
Details
2013-2014 Spring
9
HALİL TUNCA
Details
2012-2013 Spring
7
ŞABAN NAZLIOĞLU
Details
2011-2012 Spring
5
ŞABAN NAZLIOĞLU
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Course Details
Course Code
Course Title
L+P Hour
Course Code
Language Of Instruction
Course Semester
EKNM 302
ECONOMETRICS - II
3 + 0
2
Turkish
2023-2024 Spring
Course Coordinator
E-Mail
Phone Number
Course Location
Attendance
Res. Assist. ÇAĞIN KARUL
ckarul@pau.edu.tr
İİBF C0204 İİBF C0207
%60
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
Weeks
Topics
1
Introduction to Econometrics-II
2
Multicollinearity-I
3
Multicollinearity-II
4
Multicollinearity-III
5
Heteroskedasticity-I
6
Heteroskedasticity-II
7
Heteroskedasticity-III
8
Midterm
9
Autocorrelation-I
10
Autocorrelation-II
11
Autocorrelation-III
12
Econometric Modeling: Model Specification and Diagnostic Testing-I
13
Econometric Modeling: Model Specification and Diagnostic Testing-II
14
Dummy Variable Regression Models
Materials
Materials are not specified.
Resources
Resources
Resources Language
Gujarati, D. ve Porter, D. "Temel Ekonometri",5.baskı,İngilizde'den Çeviri
Türkçe
Principles of Econometrics, Hill, Griffiths and Lim
English
Gujarati D.,"Örneklerle Ekonometri",BB101 yayınları.
Türkçe
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
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Home Page
About University
Name And Address
Acedemic Authorities
General Discription
Academic Calendar
General Admission Requirements
Recognition of Prior Learning
General Registration Procedures
ECTS Credit Allocation
Academic Guidance
Information For Students
Cost Of Living
Accommodation
Meals
Medical Facilities
Facilities for Special Needs Students
Insurance
Financial Support for Students
Student Affairs
Learning Facilities
International Programs
Language Courses
Internships
Sports Facilities and Leisure Activities
Student Associations
Practical Information for Mobile Students
Degree Programmes