Undergraduate
Faculty of Economic and Administrative Sciences
Economics
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Econometrics II

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
IKT6003 6 Econometrics II 2/2/0 CC Turkish 5
Course Goals Students who have an introductory econometrics knowledge will be able to test the economic validity of an estimated model with statistical and econometric methods.   To test the validity of the estimated models using the E-views package program and to apply all statistical tests and analyzes.
Prerequisite(s) none
Corequisite(s) none
Special Requisite(s) The minimum qualifications that are expected from the students who want to attend the course.(Examples: Foreign language level, attendance, known theoretical pre-qualifications, etc.)
Instructor(s) Assoc. Prof. Nebile Korucu
Course Assistant(s)
Schedule TUESDAY 15:00 - 16:50 / THURSDAY 13:00 - 14:50 CATs
Office Hour(s) MONDAY 11:00-12:00 / WEDNESDAY 10:00-11:00 / Ofis: B-K7-7
Teaching Methods and Techniques Lectures,exercises,homeworks, computer aided applications using Excel and E-views, projects
Principle Sources  

Ekonometriye Giriş, Modern Yaklaşım, (4. Basımdan Çeviri), Wooldridge, Çeviri editörü: Doç.Dr.Ebru Çağlayan, Cilt 1 ve Cilt II, Nobel Akademik Yayıncılık, Ocak 2013.

Temel Ekonometri, Damodar N. Gujarati, (5. Basımdan çeviri), Ümit Şenesen, G.Günlük-Şenesen, Literatür Yayıncılık, 2012.
Damodar Gujarati(2002), Basic Econometrics, McGraw Hill, Fourth Edition.   Lecture notes
Other Sources
Course Schedules
Week Contents Learning Methods
1. Week Repeating Multiple Regression and Hypothesis Tests Lecture
2. Week Multicollinearity Concept Lecture
3. Week Testing Multiple Linear Connection Lecture
4. Week The Concept of Variance (Heteroscedasticity) Lecture
5. Week Testing for Varying Variance Lecture
6. Week Time Series Lecture
7. Week Autocorrelation Concept Lecture
8. Week Testing for Autocorrelation Lecture
9. Week Time Series / Unit Root testing and applications Lecture
10. Week Delayed Models Lecture
11. Week VAR models Lecture
12. Week Model Specification Lecture
13. Week Model Specification Errors Lecture
14. Week Linear Probability Models (Logit, Probit Models) Lecture
15. Week Identification and Data Issues Lecture
16. Week Identification and Data Issues Lecture
17. Week Final Exam
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 35
Quizzes 1 10
Attendance 1 5
Final Exam 1 50


Program Outcomes
PO-1To define his/her competencies using the theoretical and practical knowledge he/she acquired in the field of Economics and to use these competencies in practice.
PO-2To discuss concepts and ideas in the field of Economics with scientific methods, to develop hypotheses, to interpret and evaluate the data obtained.
PO-3To develop solution suggestions for complex and/or unpredictable problems encountered in practice, to report and present these suggestions in accordance with the academic publication rules.
PO-4To identify regional and global issues/problems, to perform analyses based on scientific data and research, and to develop solution suggestions.
PO-5To determine the learning needs in the field of Economics, to evaluate the acquired knowledge and skills with a critical approach, and to use this knowledge and skills to develop economic policies.
PO-6To inform relevant people and institutions on issues related to the field of Economics and to gain the ability to convey written and verbal solutions to problems.
PO-7To convey his/her thoughts and suggestions in the field of Economics to experts and non-experts by supporting them with quantitative and qualitative data, to discuss and to contribute to the development of new policies by revising suggestions according to the feedback he/she receives.
PO-8To benefit from other disciplines that form the basis of the field of Economics, to develop multidisciplinary approaches by associating these disciplines with his/her knowledge in the field of Economics, to produce project and publications.
PO-9To define the differences and relationships between classical and modern theories of economics and to observe the distinctions between classical and modern economic policies and to evaluate the compatibility of these policies with economic and social issues.
PO-10To read and comprehend foreing news sources about economics being fluent in a foreign language, to scan the economic literature and to follow the most current approaches in this field.
PO-11To take into account scientific and ethical values in the stages of collecting, interpreting and announcing economic data and carrying out statistical/econometric studies using these data, and also to carry out the publication process in accordance with academic publishing principles.
Learning Outcomes
LO-1To make the robustness test with the use of E-Views program, make estimations
LO-2To test the model according to classical and linear regression hypothesis
LO-3Find out possible deviations from the hyphothesis of the model
LO-4To comment the econometric model findings
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11