This is a course in practical application of quantitative analysis methods for doctoral students. The course assumes that students have a basic knowledge of statistics and mathematics as well as the use of advanced statistical software (STATA, E-views, Matlab, R etc). The course is designed to provide students with practical knowledge and insight in modern research in the form of linear and non-linear estimation methods for large data sets.
Course main elements are:
- Linear regression
- Generalized Least Square (GLS) regressions
- Linear Instruments variable estimates
- Basic and advanced panel data models
- Binomial and Multinominal models
- Selection Models
- Models based on normal and non-nomal distribution.