Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
İKT3042013201ECONOMETRICS-IICompulsory366
Level of Course Unit
First Cycle
Objectives of the Course
The aim of the course is • to teach heteroscedasticity problem detection, and elimination of the effect of the autocorrelation problem detection, and elimination of impact, distributed agregression models, simultaneous equation systems, stationarity tests, cointegration tests, causality tests and error correction model.
Name of Lecturer(s)
Yrd.Doç.Dr.Nedim DİKMEN
Learning Outcomes
1apply statistical methods on economic problems
2identify economic problems and solve them empirically
3model, predict and interpret economic problems
4be able to analyze using economics, statistics and mathematics together
5can be found in forward inferences
Mode of Delivery
Formal Education
Prerequisites and co-requisities
Yok
Recommended Optional Programme Components
Week 1 Heteroscedasticity Tests Week 2 Weighted Least Squares Week 3 Autocorrelation Week 4 Methods Cochrane-Orcutt Week 5 Koyck Model Week 6 Almon Model Week 7 Sequential and seemingly unrelated regressions equation systems Week 8 Midterm Week 9 Indirect OLS Week 10 2A and 3A OLS Week 11 Unit-Root Tests Week 12 Co-Integrated Tests Week 13 Causality Tests Week 14 Vector Otoregresyonlar Week 15 Models Box-Jenks Week 16 Final Exam
Course Contents
• Heteroscedasticity problem detection • Elimination of the effect of the autocorrelation problem detection • Elimination of impact • Distributed lagregression models • Simultaneous equation systems • Stationarity tests • Cointegration tests • Causality tests • Error correction model
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Variant Variance Tests
2Weighted Least Squares
3autocorrelation
4Cochrane-Orcutt Methods
5Koyck model
6Almon model
7Systems of consecutive equations and seemingly unrelated regressions
8Midterm
9Indirect EKL
102AEKK and 3AEKK
11Unit-root tests
12Co-integration tests
13Causality tests
14Vector autoregressions
15Box-Jenks models
16End of Period
Recommended or Required Reading
Dikmen Nedim, (2009); Ekonometri, Temel Kavramlar ve Uygulamalar, DORA Yayınları, Bursa. Gujarati, D. , 1999, Temel Ekonometri (Çev. : Şenesen, Ü. , Şenesen, Gülay G. ) , İstanbul Köseoğlu, M. , Yamak, R. , 2004, Uygulamalı İstatistik ve Ekonometri, Aksakal Kitabevi, Trabzon
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
Yarıyıl (Yıl) İçi Etkinlikleri40
Yarıyıl (Yıl) Sonu Etkinlikleri60
SUM100
Language of Instruction
Turkish
Work Placement(s)
Yok
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination111
Final Examination111
Attending Lectures14456
Self Study14456
Individual Study for Mid term Examination199
Individual Study for Final Examination11313
TOTAL WORKLOAD (hours)136
Contribution of Learning Outcomes to Programme Outcomes
PO
1
PO
2
PO
3
PO
4
PO
5
PO
6
PO
7
PO
8
PO
9
PO
10
PO
11
PO
12
PO
13
PO
14
LO123234344433353
LO232234344433354
LO334334333333433
LO444444334444444
LO543544354444444
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
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