The aim of this course is to acquaint students with practical skills and a solid understanding of a wide range of commonly used econometric models and techniques for the analysis of panel data, time series and cross-sectional data used in contemporaneous empirical economic research.
The emphasis is on a practical understanding of the models and methods, and how to apply them. After following this course, students should be able to:
· have a good working knowledge of the key properties of standard methods of estimation (including OLS, IV, ML, GMM)
· be able to apply this estimation methods in a variety of models (linear models, models with endogeneity, discrete choice models, sample selection models, linear panel data models, differences-in-differences models, and time series models for prediction of economic time series and its variance);
· correctly interpret and critically evaluate the empirical results in those applications
· correctly apply these methods to empirical data sets using econometric software.