GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ECONOMETRICS II/EKON302
Course Title: ECONOMETRICS II
Credits 3 ECTS 8
Semester 6 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Prof.Alparslan AKÇORAOĞLU, Assoc. Prof. Funda YURDAKUL, Assoc. Prof. Nükhet DOĞAN, Assoc. Prof. Şenay AÇIKGÖZ, Assoc. Prof. Nur Seher SÜLKÜ, Assoc. Prof. Atilla GÖKÇE
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/nukhed
 -- EMAIL(S) OF LECTURER(S)
  nukhed@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Be able to make choice between different econometrics models
Test the validation of assumptions on the error term of the econometric model
Be able to use qualitative variables in econometrics models






 -- 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
  Econometrics I, Statistical Analysis, Micro Economics, Macro Economics.
 --COURSE CONTENT
1. Week  Assumptions of Linear Regression Model and Violations of the Assumptions
2. Week  Multicollinearity: Definition, reasons and test of existence
3. Week  Consequences of Multicollinearity and Methods to eliminate Multicollinearity
4. Week  Heteroscedasticity: Definition, reasons and test of existence
5. Week  Consequences of Heteroscedasticity and Methods to eliminate Heteroscedasticity
6. Week  Consequences of Heteroscedasticity and Methods to eliminate Heteroscedasticity (continue)
7. Week  Application
8. Week  Midterm
9. Week  Autocorrelation: Definition, reasons and test of existence
10. Week  Consequences of Autocorrelation and Methods to eliminate autocorrelation
11. Week  Consequences of Autocorrelation and Methods to eliminate autocorrelation(continue)
12. Week  Model Specification Errors
13. Week  Regression with Dummy Variables
14. Week  Regression with Dummy Variables(continue)
15. Week  Application
16. Week  Final
 -- RECOMMENDED OR REQUIRED READING
  -D. Gujarati, D.Porter (2012) "Basic Econometrics" - J.H. Stock, M.W. Watson (2011) "Introduction to Econometrics" - A.Koutsoyiannis (1987) "Theory of Econometrics" - Wooldridge Jeffrey (2009), "Introductory Econometrics: A Modern Approach"
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration.
 -- WORK PLACEMENT(S)
  None.
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
40
 Assignment
0
0
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
12
3
36
 Practising Hours of Course Per Week
2
3
6
 Reading
14
2
28
 Searching in Internet and Library
12
3
36
 Designing and Applying Materials
14
2
28
 Preparing Reports
12
2
24
 Preparing Presentation
0
0
0
 Presentation
0
0
0
 Mid-Term and Studying for Mid-Term
7
3
21
 Final and Studying for Final
7
3
21
 Other
0
 TOTAL WORKLOAD: 
200
 TOTAL WORKLOAD / 25: 
8
 ECTS: 
8
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Having the professional expertise and skills on theoretical and practical aspects of econometrics, statistics and operational research.X
2Having qualities for professional competence in order to work in career fields such as inspector or assistant specialist or working department of research-development in public institutions and organizations, the private sector and civil society organizations.X
3Having knowledge about other disciplines such as economics, managements, public finance and law related to econometrics.
4Having appropriate behavior of econometrics in the field of social, scientific, cultural and ethical values, applicability of gained knowledge and skills in accordance with the principle of responsibility to social and working life.X
5Having skills about foreign language and information system related to the fields in academic and working life.
6Having skills about selecting, using and evaluating of appropriate statistical, econometric and mathematical programming methods, based on theoretical and practical knowledge acquired in the field related to the current problems faced by.X
7Having skills to work with the team for reach fruitful results in interdisciplinary and interdisciplinary studies.X
8Having knowledge of research methods in the field of institutions and organizations planning projects, managing, and to conduct independent researches.X
9Having qualities for analytical thinking, prospecting and bring scientific solutions to problems as a researcher.X
10Having skills to comprehension, application and evaluation about terms and basic theory of econometrics.X
11Having skills to comprehension, application and evaluation about terms and basic theory of statistics.X
12Having skills to comprehension, application and evaluation about terms and basic theory of statistics.X
13Using some of the basic econometric and statistical software programs.X