The goal of this course is to develop the student's statistical knowledge to comprehend the fundamentals of econometrics, to understand the basic variables of econometric models, to learn hypothesis formation and hypothesis interpretation, and to analyze the past economic situation using economic data and to provide policy recommendations by making predictions about the future.
Prerequisite(s)
None
Corequisite(s)
None
Special Requisite(s)
To have the ability to use basic statistic methods and being familiar with them. (not obligatory but strongly recommended)
Lecture, Discussion, Case Studies, Problem Solving, Homeworks and Computer Application
Principle Sources
Temel Ekonometri, Damodar N. Gujarati, (5. Basımdan çeviri), Ümit Şenesen, G.Günlük-Şenesen, Literatür Yayıncılık, 2012.
Ekonometriye Giriş, Modern Yaklaşım, (4. Basımdan Çeviri), Wooldridge, Çeviri editörü: Prof.Dr. Ebru Çağlayan, Cilt 1, Nobel Akademik Yayıncılık.
Ekonometriye Giriş, James H.Stock& Mark W. Watson, Çeviri: Bedriye Saraçoğlu, Efil Yayınevi
Other Sources
Course Schedules
Week
Contents
Learning Methods
1. Week
Statistics Review
Lecture, Discussion, Problem Solving
2. Week
Simple Regression Model
Lecture, Discussion, Problem Solving
3. Week
Multiple Regression Model
Lecture, Discussion, Problem Solving
4. Week
Multiple Regression Model
Lecture, Discussion, Problem Solving
5. Week
Asymptotic Properties of OLS Estimators
Lecture, Discussion, Problem Solving
6. Week
Forecasting Methods
Lecture, Discussion, Problem Solving
7. Week
Generalized Least Squares Method and Heteroscedasticity
Lecture, Discussion, Problem Solving
8. Week
Heteroscedasticity
Lecture, Discussion, Problem SolvingAssessment
9. Week
Midterm Exam Week
Assessment
10. Week
Midterm Exam Week
Assessment
11. Week
Specification error (Incorrect Functional Form)
Lecture, Discussion, Problem Solving
12. Week
Representation of the Regression Model with Matrix Algebra: Introduction
Lecture, Discussion, Problem Solving
13. Week
Representation of the Regression Model with Matrix Algebra: Obtaining Coefficients
Lecture, Discussion, Problem Solving
14. Week
Representation of the Regression Model with Matrix Algebra: Gauss-Markov Proofs
Lecture, Discussion, Problem Solving
15. Week
Final Exam Week
Assessment
16. Week
Final Exam Week
Assessment
17. Week
Final Exam Week
Assessment
Assessments
Evaluation tools
Quantity
Weight(%)
Midterm(s)
1
35
Quizzes
1
10
Homework / Term Projects / Presentations
1
10
Final Exam
1
45
Program Outcomes
PO-1
To 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-2
To discuss concepts and ideas in the field of Economics with scientific methods, to develop hypotheses, to interpret and evaluate the data obtained.
PO-3
To 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-4
To identify regional and global issues/problems, to perform analyses based on scientific data and research, and to develop solution suggestions.
PO-5
To 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-6
To 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-7
To 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-8
To 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-9
To 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-10
To 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-11
To 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-1
To gain the skill to form and interpret hypothesis.
LO-2
To analyze and interpret economic data using econometrics.
LO-3
To associate the basics of econometrics with other disciplines.
LO-4
To analyze the variables in simple econometric equations and to determine their relationships.
LO-5
To interpret the general features of econometric models, to analyze synthesis and to make inferences for the future.
