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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EKNM 302ECONOMETRICS - II3 + 06th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Compulsory
Course Objective The main aim of the course is to acquire a deep knowledge in econometrics
Course Content Multicollinearity, Heteroscedasticity, Autocorreelation, Econometic modeling, Dummy variables, Discrete choice model, Dynamic econometric model and autoregressive models Simultaneous equations, basics of time series econometrics
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1specification of an adequate regression model and making parameter estimate
2Making statistical inference
3Choosing the best model
4Diagnostic checking of the model
5Using the econometrics software
6Making prediction and forecast
7Using the model for control and policy purposes
8Evaluating the data

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
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LO 002555555555555
LO 003545455555555
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LO 006454544444444
LO 007555555555555
LO 008555555555555
Sub Total393839393939393939393939
Contribution555555555555

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)13339
Hours for off-the-classroom study (Pre-study, practice)13339
Assignments11313
Mid-terms11313
Final examination12626
Total Work Load

ECTS Credit of the Course






130

5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Spring1ÇAĞIN KARUL
Details 2022-2023 Spring2HALİL TUNCA
Details 2021-2022 Spring1FİLİZ YEŞİLYURT
Details 2021-2022 Spring2FİLİZ YEŞİLYURT
Details 2020-2021 Summer1FİLİZ YEŞİLYURT
Details 2020-2021 Spring2FİLİZ YEŞİLYURT
Details 2020-2021 Spring3FİLİZ YEŞİLYURT
Details 2019-2020 Spring2FİLİZ YEŞİLYURT
Details 2019-2020 Spring3MEHMET İVRENDİ
Details 2018-2019 Spring1MUSTAFA SERDAR İSPİR
Details 2018-2019 Spring2MUSTAFA SERDAR İSPİR
Details 2017-2018 Spring1MUSTAFA SERDAR İSPİR
Details 2017-2018 Spring2MUSTAFA SERDAR İSPİR
Details 2016-2017 Summer1FİLİZ YEŞİLYURT
Details 2016-2017 Spring2MUSTAFA SERDAR İSPİR
Details 2016-2017 Spring3MUSTAFA SERDAR İSPİR
Details 2015-2016 Spring2HALİL TUNCA
Details 2015-2016 Spring3HALİL TUNCA
Details 2014-2015 Spring2ŞABAN NAZLIOĞLU
Details 2013-2014 Summer2HALİL TUNCA
Details 2013-2014 Summer2HALİL TUNCA
Details 2013-2014 Spring8HALİL TUNCA
Details 2012-2013 Spring6ŞABAN NAZLIOĞLU
Details 2011-2012 Spring2ŞABAN NAZLIOĞLU


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
EKNM 302 ECONOMETRICS - II 3 + 0 1 Turkish 2023-2024 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Res. Assist. ÇAĞIN KARUL ckarul@pau.edu.tr İİBF C0107 İİBF C0204 İİBF C0207 %60
Goals The main aim of the course is to acquire a deep knowledge in econometrics
Content Multicollinearity, Heteroscedasticity, Autocorreelation, Econometic modeling, Dummy variables, Discrete choice model, Dynamic econometric model and autoregressive models Simultaneous equations, basics of time series econometrics
Topics
WeeksTopics
1 Introduction to Econometrics-II
2 Multicollinearity-I
3 Multicollinearity-II
4 Multicollinearity-III
5 Heteroskedasticity-I
6 Heteroskedasticity-II
7 Heteroskedasticity-III
8 Midterm
9 Autocorrelation-I
10 Autocorrelation-II
11 Autocorrelation-III
12 Econometric Modeling: Model Specification and Diagnostic Testing-I
13 Econometric Modeling: Model Specification and Diagnostic Testing-II
14 Dummy Variable Regression Models
Materials
Materials are not specified.
Resources
ResourcesResources Language
Gujarati, D. ve Porter, D. "Temel Ekonometri",5.baskı,İngilizde'den Çeviri Türkçe
Principles of Econometrics, Hill, Griffiths and LimEnglish
Gujarati D.,"Örneklerle Ekonometri",BB101 yayınları.Türkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes