GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
APPLIED ECONOMETRICS II/EKON402
Course Title: APPLIED ECONOMETRICS II
Credits 3 ECTS 8
Semester 8 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
   Assoc. Prof. Funda YURDAKUL, Assoc. Prof. Nükhet DOĞAN
 -- WEB SITE(S) OF LECTURER(S)
   http://websitem.gazi.edu.tr/site/funday
 -- EMAIL(S) OF LECTURER(S)
   funday@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Students learn to analyze by using Simultaneous models.
Students learn how to do predictions and policy simulation by using Simultaneous equations.
Students learn to make regression analysis with time series data and panel data.
 -- 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
  Forecasting Methods
 --COURSE CONTENT
1. Week  The nature of Simultaneous Equation Models: Identifying problem
2. Week  Simultaneity Tests
3. Week  Simultaneous Equations Methods: Indirect Least Squares and Two-Stage Least Squares
4. Week  Simultaneous Equations Methods: Indirect Least Squares and Two-Stage Least Squares
5. Week  Simultaneous Equations Methods: Instrumental Variables and Limited Information Maximum Likelihood
6. Week  Simultaneous Equations Methods: Full Information Maximum Likelihood and Three-Stage Least Squares Methods
7. Week  Practice
8. Week  Midterm Exam
9. Week  Tests of convinience in Simultaneous Equation Models
10. Week  Forecasting and Simulation Methods with Systems of Simultaneous Equation
11. Week  Forecasting and Simulation Methods with Systems of Simultaneous Equation
12. Week  Recursive Models, Seemingly Unrelated Regression Models
13. Week  Panel Data Analysis
14. Week  Panel Data Analysis
15. Week  Practice
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  James H.Stock,Mark W.Watson, Ekonometriye Giriş, Çev.Bedriye Saraçoğlu,Efil Yayıncılık,2011. Damodar N.Gujarati,Temel Ekonometri,Çev.Ümit Şenesen,Literatür Yayıncılık,2012. Jeffrey M.Wooldride,Ekonometriye Giriş,Çev.Ebru Çağlayan,Nobel Akademik Yayıncılık,2013.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  NON
 -- 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
2
24
 Designing and Applying Materials
12
2
24
 Preparing Reports
12
2
24
 Preparing Presentation
0
0
0
 Presentation
0
0
0
 Mid-Term and Studying for Mid-Term
7
4
28
 Final and Studying for Final
7
4
28
 Other
0
 TOTAL WORKLOAD: 
198
 TOTAL WORKLOAD / 25: 
7.92
 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