GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ECONOMETRIC MODELS II/5080003
Course Title: ECONOMETRIC MODELS II
Credits 3 ECTS 7.5
Semester 1 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Assoc. Prof. Seher Nur Sulku
 -- WEB SITE(S) OF LECTURER(S)
  websitem.gazi.edu.tr/site/nursulku
 -- EMAIL(S) OF LECTURER(S)
  nursulku@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Learn the basic and advance methods of econometric estimation and forecasting
Judge Accuracy of Empirical Studies with Respect to Statistics and Economics
Improve Skills of Using Econometrics Computer Programs






 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face.
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  None
 --COURSE CONTENT
1. Week  Matrix Algebra, Matrix presentation of Classical Linear Regression Model
2. Week  Orthogonality, Independency and Uncorrelatedness: Linear Algebra vs Statistics
3. Week  Least Squares Method: Geometrical Interpretation, Projector Matrix Frisch-Waugh-Lovell Theory
4. Week  Classical Linear Regression Model: Assumptions, Normal Distribution Theory
5. Week  Restricted OLS
6. Week  Large Sample :asymptotic Theory, Mann-Wald Theory
7. Week  Classical Linear Regression Model: Large Sample Assumptions, Asymptotic results
8. Week  Mid-term
9. Week  Instrumental Variables Regression and Assumptions
10. Week  Instrumental Variables: The Two Stage Least Square Estimator
11. Week  Non-spherical Error Terms
12. Week  Maximum Likelihood (ML) Estimation
13. Week  Consistency and Asymptotic Normality: OLS and ML estimators
14. Week  Asymptotic Test Procedures: LR, LM and WALD tests
15. Week  Tests Used in Fixing Autocorrelation and Heteroscedasticity
16. Week  Final
 -- RECOMMENDED OR REQUIRED READING
  Sülkü, Seher Nur (2016), Ekonometrik Teori, Gazi Kitabevi Johnston and Dinardo (1997), Econometrics Methods Davidson and MacKinnon (2003), Econometric Theory and Methods D. Gujarati Temel Ekonometri, Literatür Yayıncılık, İstanbul 2001. - Koutsayiannis A. Ekonometri Kuramı, Verso Yayıncılık 1987 - Wooldridge Jeffrey, Introductory Econometrics: A Modern Approach, 4.Edition, 2009. - Studenmund, A. H. Using Econometrics: A Practical Guide, Addison Wesley, Boston 2001. - Griffits, William E. R. Carter Hill; G.G. Judge, Learning and Practicing Econometrics, John Wiley, 1993.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  No
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
30
 Assignment
5
15
 Exercises
0
0
 Projects
2
20
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
70
 Contribution of Final Examination to Overall Grade  
30
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
0
 Reading
14
4
56
 Searching in Internet and Library
14
3
42
 Designing and Applying Materials
14
3
42
 Preparing Reports
1
1
1
 Preparing Presentation
2
1
2
 Presentation
1
2
2
 Mid-Term and Studying for Mid-Term
1
1
1
 Final and Studying for Final
1
1
1
 Other
0
 TOTAL WORKLOAD: 
189
 TOTAL WORKLOAD / 25: 
7.56
 ECTS: 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1X
2X
3X
4X
5X
6X
7X
8X
9X
10X