This course is designed for students at the doctoral level giving students an understanding of panel data methodology in econometrics. The course puts significant emphasis on the interactions between panel data methodology, financial theory and capital markets.
The course lays the foundation for future research in finance and teaching in the field by applying econometrics methodologies. We focus on fundamentals of studying panel data and apply its methods into the field of finance. Students will be able to formulate and estimate the giving financial theories by applying the techniques thought in this course.
- Teacher: korhan gokmenoglu
Ders mikroekonominin temel kavramlarını kavramaktadır. Bu çerçevede tüketici teorisi, bireysel ve piyasa talebinin türetilmesi, üretim teorisi, üretim maliyetleri, rekabetçi ve rekabetçi olmayan piyasa yapıları kapsamlı bir şekilde incelenecektir.
- Teacher: HASAN GUNGOR
Dersin amacı Sosyal Bilimlerde kullanılan araştırma yöntemlerini ortaya koymaktır.
- Teacher: Mustafa Tumer
This course is designed to introduce postgraduate students to econometric models widely used in the empirical literature. The course covers contemporary applied econometric topics including time series regression, dynamic multiple regression models, volatility models, panel data analysis, and regression with a binary dependent variable. The course also trains students in the application of these empirical models with the statistical package EViews (Econometric Views) to real economic problems and data sets. The main aim of the course is to help students build intuition about a variety of applied econometric models and obtain analytical tools to go further with their studies.
- Teacher: Kemal Bagzibagli