Institute of Social Sciences · Islamic Economics and Finance · Doctorate
Course Objective
Cross-section data has different statistical problems according to time series and modeling and parameter estimation techniques developed to solve these problems. In this course, these models and estimation techniques will be examined both theoretically and practically. In panel data, cross-section and time series are activated at the same time. Therefore, the models related to these data carry the problems of both cross-section and time-series models at the same time. Although it is a rich data source, panel data analysis, which has technical difficulties, will be covered in this course.
Course Content
Advantages of Using Cross-Section and Panel Data, Covariance Analysis, One-Way Error Component Regression Models, Fixed and Random Effect Models, Two-Way Error Component Regression Models, Fixed and Random Effect Models, Hypothesis Tests in Panel Data Models, Variable Variance and Autocorrelation Problems, Apparent Unrelated Regression Models, Dynamic Panel Data Models, Unbalanced, Panel Data Models, Variable Coefficient Models, Discrete Data, Synonym Equation Models and Applications.
Course Learning Outcomes
- To develop and deepen econometrics or other related (economics, statistics, mathematics, etc.) knowledge acquired at the level of expertise at the level of expertise, to evaluate and analyze economic and social issues from an analytical perspective u
- To be aware of the interaction between econometrics and related disciplines (economics, statistics, mathematics, etc.) and to be able to do academic work;
- To be able to apply the theoretical knowledge acquired in econometrics, statistics and operations fields
- To evaluate economic problems and events independently with numerical tools and methods, to interpret the results obtained and to produce solutions
- To have the necessary numerical understanding in order to produce solutions and develop different approaches in the face of problems that may be encountered.
- To be able to critically evaluate the knowledge in the field of econometrics and to carry out advanced studies in the field
- To be able to present up-to-date information and own studies in the field of econometrics orally and visually
- To be able to use advanced computer software and information technologies that make it easier to find solutions in econometrics, statistics and operations sciences
- To be able to develop policies and methods in economic and social issues;