GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
BASIC ECONOMETRY/SGR-304
Course Title: BASIC ECONOMETRY
Credits 3 ECTS 4
Semester 6 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Dr. Ceren YAMAN YILMAZ
 -- WEB SITE(S) OF LECTURER(S)
  http://www.websitem.gazi.edu.tr/site/cerenyaman
 -- EMAIL(S) OF LECTURER(S)
  cerenyaman@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Having the professional expertise and skills on theoretical and practical aspects of econometrics, statistics and operational research.
Having skills to comprehension, application and evaluation about terms and basic theory of statistics.
Having skills to comprehension, application and evaluation about terms and basic theory of econometrics.
Having qualities for analytical thinking, prospecting and bring scientific solutions to problems as a researcher.
Having knowledge of research methods in the field of institutions and organizations planning projects, managing, and to conduct independent researches
Having skills to comprehension, application and evaluation about terms and basic theory of statistics.
Having skills about foreign language and information system related to the fields in academic and working life.
Having skills to work with the team for reach fruitful results in interdisciplinary and interdisciplinary studies.
Having skills about selecting, using and evaluating of appropriate statistical, econometric and mathematical programming methods, based on theoretical
Having skills on theoretical and practical aspects of econometrics, statistics and operational research.
 -- 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
  Statistical Analysis, Micro Economics, Macro Economics.
 --COURSE CONTENT
1. Week  What is Econometrics, aims and stages of econometrics
2. Week  Classical Linear Regression Model: Population regression function and sample regression function
3. Week  Ordinary Least Squares (OLS) Methodology and assumptions
4. Week  Ordinary Least Squares (OLS) Methodology and assumptions
5. Week  Properties of OLS Estimators
6. Week   Confidence Intervals and Hypothesis Tests
7. Week   Confidence Intervals and Hypothesis Tests
8. Week  Midterm
9. Week  Functional forms of regression models
10. Week  Maximum Likelihood Methodology
11. Week  Multiple Regression Analysis: Presentation and assumptions
12. Week  Hypothesis Tests in Multiple Regression
13. Week  Hypothesis Tests in Multiple Regression
14. Week  Tests on the equality of two regression coefficients
15. Week  Restricted OLS and comparison of two regression models
16. Week  Final
 -- RECOMMENDED OR REQUIRED READING
  Wooldridge Jeffrey (2009), "Introductory Econometrics: A Modern Approach"
 -- 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
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
14
3
42
 Practising Hours of Course Per Week
1
3
3
 Reading
14
3
42
 Searching in Internet and Library
0
0
 Designing and Applying Materials
0
0
 Preparing Reports
0
0
 Preparing Presentation
0
0
 Presentation
0
0
 Mid-Term and Studying for Mid-Term
7
1
7
 Final and Studying for Final
7
1
7
 Other
0
0
0
 TOTAL WORKLOAD: 
101
 TOTAL WORKLOAD / 25: 
4.04
 ECTS: 
4
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Use mathematical and graphical tools in the field of insuranceX
2Understand the basic concepts and assumptions related to the science of insuranceX
3Use methods, techniques and tools necessary for the analysis and modelling of economic data to ensure and evaluate the obtained resultsX
4Describe the structure and properties of the markets in economyX
5Make predictions about the relationships between economic and financial variablesX
6Analyze and comment on current economic eventsX
7Comment on Insurance SectorX
8Analyze the insurance companies and the insurance sector within the framework of economic, financial and accounting dataX
9Have the ability to develop solutions for social problemsX
10Have the ability to do inter-disciplinary research and studyX