Statistics and econometrics

A.Y. 2018/2019
9
Max ECTS
80
Overall hours
SSD
SECS-P/05 SECS-S/01
Language
English
Learning objectives
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.
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.
Expected learning outcomes
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.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.
Course syllabus and organization

Single session

Responsible
Lesson period
Second semester
SECS-P/05 - ECONOMETRICS - University credits: 3
SECS-S/01 - STATISTICS - University credits: 6
Practicals: 16 hours
Lessons: 64 hours
Professors: Aletti Giacomo, Bonacorsi Laura, Micheletti Alessandra
Professor(s)
Reception:
on appointment
office 2099
Reception:
Appointment by email
Office or online (by videocall)