Mathematics, Mathematics for Economists, Statistics I, and Statistics II.
This course introduces the econometric models employed in testing and evaluating economic models.
Learning about economic variables and the behavioral relationships among them.
Ability to analyze the characteristics of economic models.
Learning how to transform economic models into econometric models
Learning how to estimate econometric models
Learning how to assess the results obtained from econometric models
Learning how to analyze the deviations from the assumptions of the econometric models
Course Learning Outputs and Proficiencies
The main learning output of this course is to learn how economic theory models the behavioral relationships among economic variables. In addition, the course aims at teaching how economic models are transformed into econometric models and how econometric models are estimated.
—Damodar N. Gujurati (2001), Temel Ekonometri, Çevirenler: Gülay Güllük Şenesen ve Ümit Şenesen, Literatür Yayınları, İstanbul.
— Peter Kennedy (2006), Ekonometri Kılavuzu, Çevirenler: Muzaffer Sarımeşeli ve Şenay Açıkgöz, Gazi Kitabevi, Ankara.
— Tümay Ertek (1996), Ekonometriye Giriş, Beta, İstanbul.
Midterm 30% and Final 70%
Semester Course Plan
The behavioral relationships among economic variables
Data types, Data Sources, and Data Collecting
Classical Linear Regression Analysis: Two-Variable Case
Hypothesis Testing in Two-Variable Regression Analysis
Classical Linear Regression Analysis: Multiple Variable Case
Hypothesis Testing in Multiple Variable Regression Analysis
The Matrix Approach to Linear Regression Model I
The Matrix Approach to Linear Regression Model II
Deviations from the Assumptions the Classical Model: Multicollinearity
Deviations from the Assumptions the Classical Model: Heteroscedasticity
Deviations from the Assumptions the Classical Model: Autocorrelation
Deviations from the Assumptions the Classical Model: Model Specification Errors
Nonlinear Regression Models