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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EKO 502ECONOMETRIC ANALYSIS3 + 03rd Semester10

COURSE DESCRIPTION
Course Level Doctorate Degree
Course Type Compulsory
Course Objective To analyzes the historical economic data. Furthermore, collecting data and conducting econometric analyzes with these data under science ethics are among the main objectives of this course.
Course Content Non-Spherical Disturbances,Heteroscedasticity Problem,Autocorrelated Disturbances,Regression with Panel Data,Regression Equations Systems,Regression with Lagged Variables,Time Series Models,Simultaneous Equation Models,Regression with Discrite Dependent Value,Models with Limited Dependent Variables and Duration Models.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1To explain time series
2It defines economic data most of which are time series
3It controls whether economic series are stationary or not
4It covers tests and comments of time series models

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 001545454554554
LO 002545444545454
LO 003445545444545
LO 004545454544445
Sub Total191620171817191717181818
Contribution545454544555

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14684
Assignments51365
Mid-terms13030
Final examination13939
Total Work Load

ECTS Credit of the Course






260

10
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2019-2020 Fall1FİLİZ YEŞİLYURT


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
EKO 502 ECONOMETRIC ANALYSIS 3 + 0 1 Turkish 2019-2020 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. FİLİZ YEŞİLYURT afiliz@pau.edu.tr İİBF A0202 %
Goals To analyzes the historical economic data. Furthermore, collecting data and conducting econometric analyzes with these data under science ethics are among the main objectives of this course.
Content Non-Spherical Disturbances,Heteroscedasticity Problem,Autocorrelated Disturbances,Regression with Panel Data,Regression Equations Systems,Regression with Lagged Variables,Time Series Models,Simultaneous Equation Models,Regression with Discrite Dependent Value,Models with Limited Dependent Variables and Duration Models.
Topics
Materials
Materials are not specified.
Resources
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