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
SECOND CYCLE - MASTER'S DEGREE
THE GRADUATE SCHOOL OF SOCIAL SCIENCES
ECONOMICS DEPARTMENT
2201 ECONOMICS
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
IKT 805
ECONOMETRIC APPLICATION
3 + 0
2nd Semester
7,5
COURSE DESCRIPTION
Course Level
Master's Degree
Course Type
Elective
Course Objective
To describe the core econometrik techniques using E-views and stata programs. To teach how these techniques are used for the test of economic theories and how to interpret the findings
Course Content
Linear Regression Model with one regressor, Linear Regression model with multiple regressors, hypothesis testing, detection and correction of the estimation problems, instrumental variable and 2SLS estimator, time series models and estimation techniques
Prerequisites
No the prerequisite of lesson.
Corequisite
No the corequisite of lesson.
Mode of Delivery
Face to Face
COURSE LEARNING OUTCOMES
1
Makes the data analyzes and regulation required for econometric modelling
2
Estimates the one regressor and multiple regressor regression model and interprets the findings
3
Tests the hypotheses
4
Estimates the time series models and interprets the findings
COURSE'S CONTRIBUTION TO PROGRAM
Data not found.
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
5
65
Hours for off-the-classroom study (Pre-study, practice)
13
3
39
Assignments
2
13
26
Final examination
1
39
39
Midterm
1
26
26
Total Work Load
ECTS Credit of the Course
195
7,5
COURSE DETAILS
Select Year
All Years
2021-2022 Spring
2019-2020 Fall
2018-2019 Spring
Course Term
No
Instructors
Details
2019-2020 Fall
1
MEHMET İVRENDİ
Details
2018-2019 Spring
1
MUSTAFA SERDAR İSPİR
Print
Course Details
Course Code
Course Title
L+P Hour
Course Code
Language Of Instruction
Course Semester
IKT 805
ECONOMETRIC APPLICATION
3 + 0
1
Turkish
2019-2020 Fall
Course Coordinator
E-Mail
Phone Number
Course Location
Attendance
Prof. Dr. MEHMET İVRENDİ
mivrendi@pau.edu.tr
İİBF A0202
%
Goals
To describe the core econometrik techniques using E-views and stata programs. To teach how these techniques are used for the test of economic theories and how to interpret the findings
Content
Linear Regression Model with one regressor, Linear Regression model with multiple regressors, hypothesis testing, detection and correction of the estimation problems, instrumental variable and 2SLS estimator, time series models and estimation techniques
Topics
Materials
Materials are not specified.
Resources
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