1. SECOND CYCLE - MASTER'S DEGREE
  2. THE GRADUATE SCHOOL OF SOCIAL SCIENCES
  3. ECONOMETRICS DEPARTMENT
  4. 2405 ECONOMETRICS
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EKOM 501ECONOMETRICS I3 + 01st Semester7,5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Compulsory
Course Objective Teaching the fundamentals of econometrics
Course Content Simple and Multiple Regression, dummy variable, limited dependent variable models, deviation of the assumptions:autocorrelation, heteroskedasticity, spesification error.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1developing the information of the basic econometrics which was thought
2Providing the using of econometrics program more efficiently

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 001            
LO 002            
Sub Total            
Contribution000000000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14570
Hours for off-the-classroom study (Pre-study, practice)14570
Assignments11010
Mid-terms12020
Final examination12525
Total Work Load

ECTS Credit of the Course





195

7,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2017-2018 Fall1SİNEM GÜLER KANGALLI UYAR
Details 2016-2017 Fall1SİNEM GÜLER KANGALLI UYAR
Details 2015-2016 Fall1ŞABAN NAZLIOĞLU
Details 2014-2015 Fall1ŞABAN NAZLIOĞLU
Details 2013-2014 Fall1ŞABAN NAZLIOĞLU


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
EKOM 501 ECONOMETRICS I 3 + 0 1 Turkish 2017-2018 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Assoc. Prof. Dr. SİNEM GÜLER KANGALLI UYAR skangalli@pau.edu.tr İİBF C0214 %
Goals Teaching the fundamentals of econometrics
Content Simple and Multiple Regression, dummy variable, limited dependent variable models, deviation of the assumptions:autocorrelation, heteroskedasticity, spesification error.
Topics
WeeksTopics
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
ResourcesResources Language
William Greene, Econometric Analysis, 7.ed., 2012, Pearson.English
William Greene, Econometric Analysis, 7.ed., 2012, Pearson.English
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes