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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
MAB 615APPILED ECONOMETRICS3 + 03rd Semester7,5

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
1It handles the fundamentel thesis of economic theory with a quantitative approach
2It explains econometric metodology and defines related concepts.
3 uses all necessary econometric package programs(SPSS;Eviews) for appliction

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07
LO 0014  332 
LO 0024  431 
LO 0034  55  
Sub Total12  12113 
Contribution4004410

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)14342
Assignments12020
Mid-terms13030
Final examination14040
Presentation / Seminar Preparation12121
Total Work Load

ECTS Credit of the Course






195

7,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2021-2022 Fall1FATİH DEYNELİ
Details 2012-2013 Fall1ŞABAN NAZLIOĞLU


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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
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
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