COURSE INFORMATON
Course Title
ECONOMETRICS I
Code
Semester
L+P Hour
Credits
ECTS
ECON 351
5
3+0
3
7
Prerequisites
ECON271 ECON272
Language of
Instruction
English
Course Level
Bachelor's Degree (First Cycle Programmes)
Course Type
Compulsory
Course
Coordinator
Prof. Dr. Ferda HALICIOĞLU
Instructors
Prof. Dr. Ferda HALICIOĞLU
Assistants
Goals
Content
The objective of this course is to teach the theory and practice
of econometrics at an introductory level.
This course covers econometric model building under certain
assumptions and offers solutions in the case of violation of the
assumptions. Econometric applications are usually derived from
economic theories with real data sets. Practice with an
appropriate econometric sofware is encouraged during
computing laboratory sessions.
Ordinary Least Squares, OLS assumptions, point and confidence
interval estimations, hypothesis testing, parameter stability
tests, extensions in multiple regression analysis, using dummy
variables, multicollinearity, heteroscedasticity and serial
correlations.
Teaching
Methods
Assessment
Methods
Understand the meaning and usefulness of econometrics;
1,2,3
A,C
Be able to understand and apply simple and multiple
regression techniques;
1,2,3
A,C
Be able to apply the techniques required to test the
hypotheses advanced by economic theory;
1,2,3
A,C
Be aware of the primary sources of statistical data
required for applied econometric work;
1,2,3
A,C
1,2,3
A,C
Learning Outcomes
Learn how econometric results produced from a statistical
data, how to interpret those results and how to assess
their quality and validity;
Understand the relationship between economics and
econometrics and what latter can contribute to the
former;
1,2,3
A,C
Be able to identify and solve the problems typically
encountered when applying econometric techniques in
practice and understand the consequences of leaving
such problems unresolved;
1,2,3
A,C
Be able to practice the application of a wide range of
econometric techniques in the context of specific areas of
economic inquiry using econometric software.
1,2,3
A,C
Teaching
Methods:
1: Lecture, 2: Question-Answer, 3: Discussion,
Assessment
Methods:
A: Testing, C: Homework
COURSE CONTENT
Week Topics
Study
Materials
1 Introduction to econometrics
Gujarati 2009
Introuction
2 Introduction to econometrics (Cont.)
Gujarati 2009
Introuction
3 Reviewing the basics of mathematics and statistics
Gujarati 2009
Appendix
4 Introducing the econometric and economic models
Gujarati 2009
Ch 1,2
5 Ordinary Least Square Technique and its assumptions
Gujarati 2009
Ch 1,2
6 Properties of the OLS estimators
Gujarati 2009
Ch 3,4
7 Midterm exam
8 Multiple regression analysis
Gujarati 2009
Ch 4,5
9 Extensions in multiple regression analysis
Gujarati 2009
Ch 7
10 Parameter stability tests
Gujarati 2009
Ch 8
11 Application of dummy variables in regression analysis
Gujarati 2009
Ch 8
12 Multicollinearity analysis
Gujarati 2009
Ch 10
13 Heteroscedasticity analysis
Gujarati 2009
Ch 11
14 Autocorrelation analysis
Gujarati 2009
Ch 12
15 Revision
16 End of Term exam
RECOMMENDED SOURCES
Textbook
Gujarati, N. D., and Porter, D. C., (2009), Basic
Econometrics, (5th edn.), McGraw-Hill, New York.
Additional Resources
Verbeek, M. (2008), A Guide to Modern Econometrics, (3rd
edn.), John Wiley and Sons, Chicester.
MATERIAL SHARING
Documents
Readings in econometrics and econometric software guide books
Assignments
Exams
ASSESSMENT
IN-TERM STUDIES
NUMBER PERCENTAGE
Mid-term
1
30
Assignment
Total
30
CONTRIBUTION OF FINAL EXAMINATION TO
OVERALL GRADE
70
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL
GRADE
30
Total
COURSE CATEGORY
100
Compulsory
COURSE'S CONTRIBUTION TO PROGRAM
Contribution
No Program Learning Outcomes
1 2 3 4 5
1
To acquire a sound knowledge of theoretical and quantitative skills in
the field of economics so that a contribution to solution of current
economic problems can be made.
2
To acquire professional
competence and knowledge in economics
which can be implemented in real life.
3
To possess the skills for writing, presentation and virtual sharing
platforms
that are used in problem solving and knowledge
accumulation.
4
To be able to evaluate and criticise the theories and abilities in
economics teaching in order to determine further learning needs.
5
To take personal responsibility to
unpredictable and complex in practise.
6
To able to participate in and to contribute efficiently to
professional, regional and academic networks.
7
To enlighten individuals and institutions and to earn ability to present
solutions to economic problems.
8
To possess social, scientific and ethical values at the data collection,
interpretation and dissemination stages of economic analysis.
9
To have the ability to evaluate his/her advance (post graduate) level
educational needs and do the necessary planning to fulfill those needs
through the acquired capability to think analytically and critically.
10
To be able to use English language efficently in order to achive
progress in academic and professional life.
solve
problems
x
x
x
x
which
are
x
the global,
x
x
x
x
x
ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE
DESCRIPTION
Activities
Quantity
Total
Duration
Workload
(Hour)
(Hour)
Course Duration (Including the exam week: 16x Total
course hours)
16
3
48
Hours for off-the-classroom study (Pre-study, practice)
16
5
80
Mid-terms
1
10
10
Quizes
0
0
0
Homework
0
0
0
Final examination
1
30
30
Total Work Load
168
Total Work Load / 25 (h)
6.72
ECTS Credit of the Course
7