Pamukkale University
University is the guide to life
Welcome to PAU;
Prospective Student
Our Students
Our Staff
TR
Information Package & Course Catalogue
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
THIRD CYCLE - DOCTORATE DEGREE
THE GRADUATE SCHOOL OF SOCIAL SCIENCES
TREASURY DEPARTMENT
2963 Public Finance PhD
Course Information
Course Learning Outcomes
Course's Contribution To Program
ECTS Workload
Course Details
Print
COURSE INFORMATION
Course Code
Course Title
L+P Hour
Semester
ECTS
MAB 615
APPILED ECONOMETRICS
3 + 0
1st Semester
7,5
COURSE DESCRIPTION
Course Level
Doctorate Degree
Course Type
Elective
Course Objective
Autocorrelation, heteroscedasticity, multicollinearity, specification errors, measurement errors, dummy variables, structural change analysis, pairwise and spline regression, model selection are studied in this course. .
Course Content
Autocorrelation, heteroscedasticity, multicollinearity, specification errors, measurement errors, dummy variables, structural change analysis, pairwise and spline regression, model selection are studied in this course. .
Prerequisites
No the prerequisite of lesson.
Corequisite
No the corequisite of lesson.
Mode of Delivery
Face to Face
COURSE LEARNING OUTCOMES
1
It handles the fundamentel thesis of economic theory with a quantitative approach
2
It explains econometric metodology and defines related concepts.
3
uses all necessary econometric package programs(SPSS;Eviews) for appliction
COURSE'S CONTRIBUTION TO PROGRAM
PO 01
PO 02
PO 03
PO 04
PO 05
PO 06
PO 07
LO 001
4
3
3
2
LO 002
4
4
3
1
LO 003
4
5
5
Sub Total
12
12
11
3
Contribution
4
0
0
4
4
1
0
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
3
42
Hours for off-the-classroom study (Pre-study, practice)
14
3
42
Assignments
1
20
20
Mid-terms
1
29
29
Final examination
1
32
32
Presentation / Seminar Preparation
1
30
30
Total Work Load
ECTS Credit of the Course
195
7,5
COURSE DETAILS
Select Year
All Years
2021-2022 Fall
2012-2013 Fall
2011-2012 Fall
2010-2011 Spring
Course Term
No
Instructors
Details
2021-2022 Fall
1
FATİH DEYNELİ
Details
2012-2013 Fall
1
ŞABAN NAZLIOĞLU
Print
Course Details
Course Code
Course Title
L+P Hour
Course Code
Language Of Instruction
Course Semester
MAB 615
APPILED ECONOMETRICS
3 + 0
1
Turkish
2021-2022 Fall
Course Coordinator
E-Mail
Phone Number
Course Location
Attendance
Prof. Dr. FATİH DEYNELİ
fdeyneli@pau.edu.tr
İİBF B0114
%
Goals
Autocorrelation, heteroscedasticity, multicollinearity, specification errors, measurement errors, dummy variables, structural change analysis, pairwise and spline regression, model selection are studied in this course. .
Content
Autocorrelation, heteroscedasticity, multicollinearity, specification errors, measurement errors, dummy variables, structural change analysis, pairwise and spline regression, model selection are studied in this course. .
Topics
Weeks
Topics
1
What is econometrics?
2
Linear Regression Model
3
Least squares-I
4
Least squares-II
5
Least squares estimator-I
6
Least squares estimator-II
7
Hypothesis testing
8
Midterx exam
9
Model selection
10
Functional form
11
Structural change
12
Endogeneity
13
Instrumental variables
14
Final exam
Materials
Materials are not specified.
Resources
Resources
Resources Language
William Greene, Econometric Analysis, 7.ed., 2012, Pearson.
English
Course Assessment
Assesment Methods
Percentage (%)
Assesment Methods Title
Final Exam
50
Final Exam
Midterm Exam
50
Midterm Exam
L+P:
Lecture and Practice
PQ:
Program Learning Outcomes
LO:
Course Learning Outcomes
{1}
##LOC[OK]##
{1}
##LOC[OK]##
##LOC[Cancel]##
{1}
##LOC[OK]##
##LOC[Cancel]##
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