COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
Econometrics II ECMS   412 8 3 3 6

Prerequisites and co-requisites
Recommended Optional Programme Components None

Language of Instruction English
Course Level First Cycle Programmes (Bachelor's Degree)
Course Type
Course Coordinator Assist.Prof.Dr. Cevat BİLGİN
Instructors
 
Assistants
Goals
Providing theoretical equipment in analyzing economics relations. For this aim, understanding econometric definitions and concepts, doing statistical analysis and explaiing these.
Content
The problems of multicollinearity, heteroskedasticity and autocorrelation, econometric modelling, simultaneous equations models

Learning Outcomes
1) Defining and explaining the problem of multicollinearity
2) Detection of the problem of multicollinearity
3) Defining and imposing the remedial measures for multicollinearity
4) Defining and explaining the problem of heteroskedasticity
5) Detection of the problem of heteroskedasticity
6) Defining and imposing the remedial measures for heteroskedasticity
7) Defining and explaining the problem of autocorrelation
8) Detection of the problem of autocorrelation
9) Defining and imposing the remedial measures for autocrrelation
10) Defining model and diagnostic testing in modelling
11) Explaining simultaneous equations models and practicing proper estimation methods
12)
13)
14)
15)


Course's Contribution To Program
NoProgram Learning OutcomesContribution
12345
1
Explain the importance of demand and supply in economy sciece and the well-running conditions of the market economy
X
2
Define the role of pricing within the event advantage of the market economy
X
3
Define the role of the state in economy, money and financial policies, the central bank and the structure of the market
X
4
Perceive the costs and benefits arising from the global economy
5
Produce nymerical and policy options when confronted with problems
X
6
Use quantitative and qualitative techniques of model building, decoding and interpretation
X
7
Use the theory of economics in the analysis of economic events
X
8
Use computer programs, do synthesis and present prepared data efficiently
X
9
Apply the methods of economic analysis.
X
10
Analyze at conceptual level and aquire abiliy in comparing, interpreting, evaluating and synthesizing in order to develop solutions to problems
11
Take responsibility individually and/or in a team, take leadership and work effectively
12
Follow innovative developments in the field being aware of the necessity of lifelong learning and improving him-/herself
X
13
Use of different sources about an unfamiliar field within academic principles, synthesize gained data and present effectively
X
14
Use Turkish and at least one foreign language in accordance with the requirements of academic and work life
15
Understand and interpret related peoples´ feelings, thoughts and behaviours correctly; express him-/herself accurately in written and oral language
16
Question traditional attitudes, applications and methods, develop and apply new methods when needed.
17
Recognize and apply social, scientific and professional ethical values.
X

Course Content
WeekTopicsStudy Materials _ocw_rs_drs_yontem
1 The problem of multicollinearity and practical consequences of the problem Reading the textbook Lecture
2 The tests for detecting multicollinearity Reading the textbook Lecture
Drilland Practice
3 Remedial measures for multicollieanirity Reading the textbook Lecture
4 The problem of heteroskedasticity and practical consequences of the problem Reading the textbook Lecture
Drilland Practice
5 The tests for detecting heteroskedasticity Reading the textbook Lecture
Drilland Practice
6 Remedial measures for heteroskedasticty Reading the textbook Lecture
Drilland Practice
7 The problem of autocorrelation and practical consequences of the problem Reading the textbook Lecture
Drilland Practice
8 Midterm Exam Studying the course content Testing
9 The tests for detecting autocorrelation Reading the textbook Lecture
Drilland Practice
10 Remedial measures for autocorrelation Reading the textbook Lecture
11 Model specification errors in econometric modelling Reading the textbook Lecture
Drilland Practice
12 Tests for specification erros Reading the textbook
13 The structure and content of simultaneous equations models Reading the textbook Lecture
Drilland Practice
14 The identification problem in simultaneous equations models Reading the textbook Lecture
Drilland Practice
15 Estimation methods in simultaneous equations models Reading the textbook Lecture
Drilland Practice
16-17 Final Exam Studying the whole course content Testing

Recommended or Required Reading
Textbook
Additional Resources