GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
PANEL DATA ANALYSIS/7700054
Course Title: PANEL DATA ANALYSIS
Credits 3 ECTS 7.5
Semester 1 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Prof.Dr. Nükhet Doğan
 -- 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
Apply the basic panel data analysis techniques.
Develop the ability to Interpret the basic panel data analysis techniques.







 -- 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
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  Introduction to Panel analysis
2. Week  Pooled Models
3. Week  One-Way Panel Data Models
4. Week  One-Way Panel Data Models
5. Week  Two-Way Panel Data Models
6. Week  Two-Way Panel Data Models
7. Week  Panel Data Methods comparison
8. Week  Midterm
9. Week  Heteroskedasticity and serial Correlation in Panel Data
10. Week  Seemingly Unrelated Regression estimation
11. Week  First generation Panel Unit root tests
12. Week  Second generation Panel Unit root tests
13. Week  Cross Section Dependency
14. Week  Panel Cointegraion
15. Week  Review
16. Week  Final
 -- RECOMMENDED OR REQUIRED READING
  Wooldrige, Jeffry(2002), Econometric Analysis of Cross Section and Panel Data, MIT press. Badi H.Baltagi, (1995),Econometric Analysis of Panel Data
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  None.
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
30
 Assignment
1
20
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
50
 Contribution of Final Examination to Overall Grade  
50
 -- 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
2
24
 Designing and Applying Materials
14
1
14
 Preparing Reports
12
2
24
 Preparing Presentation
12
2
24
 Presentation
1
3
3
 Mid-Term and Studying for Mid-Term
7
2
14
 Final and Studying for Final
7
2
14
 Other
0
 TOTAL WORKLOAD: 
187
 TOTAL WORKLOAD / 25: 
7.48
 ECTS: 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Having the professional expertise and skills on theoretical and practical aspect of econometrics.X
2Having appropriate behavior of econometricsin 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
3Having skills about selecting, using and evaluating of appropriate econometrics and statistical programming methods, based on theoretical and practical knowledge acquired in the field related to the current problems faced by.X
4Having skills to work with the team for reach fruitful results in interdisciplinary and interdisciplinary studies.X
5Having knowledge of research methods in the field of institutions and organizations planning projects, managing in order to conduct independent research.X
6Using some of the advanced level econometrics and statistical software programs.X
7Having skills about information system related to the fields in working life.X
8Having qualities for analytical thinking, prospecting and bring scientific solutions to problems as a researcher.X
9Having skills to comprehension, application and evaluation about terms and basic theory of operational research.
10Having the professional expertise and skills on theoretical and practical aspects of operational research.