Part 1: The aim of this part of the course is to give students the preliminary elements of probability and statistics. This part concentrates on the linear regression model, with particular attention to the OLS estimation procedure and related properties, finite and asymptotic, of the estimators.
Parts 2: The aim of these parts of the course is to provide students with the basic principles of the econometric analysis. All the theoretical aspects of the econometric modelling will be treated jointly with interesting and modern empirical applications in order to motivate students and try to respond to real-world questions with specific numerical answers.
Risultati apprendimento attesi
At the end of the course the students should be able to formalize autonomously a statistical or econometric empirical problem and perform the related data analysis.
Periodo: Secondo semestre
(se vi sono più edizioni controllare anche il periodo dell'edizione, che può essere diverso)