|SCIENTIFIC DISCIPLINARY SECTOR||SECS-S/05|
The teaching introduces students to the basic methods and techniques of quantitative methods for economic and social analysis. The teaching is structured in two main parts. In the first part, topics that were only introduced in the first-year 'Statistics for Social and Economic Sciences' teaching will be explored in more detail. In particular, it will cover the fundamentals of probability calculus useful for statistical inference methods followed by the theory of point and interval estimation and of the testing of statistical hypotheses. The second part of the teaching will provide an accessible overview of statistical learning, an essential set of tools for making sense of the vast and complex data sets that have emerged in every field of science. The teaching will make extensive use of computers and in particular the open source statistical analysis environment R-Studio.
The teaching imparts to the student the fundamentals of statistical models useful for the quantitative analysis of economic and social phenomena. The student will be able to produce statistical reports with the help of data tables, graphs and more sophisticated tools such as multiple regression, logistic regression and some modern multivariate analysis techniques. The teaching is application-oriented and several hours will be devoted to an introduction to data analysis software such as Microsoft Excel and R (R-Studio).
The primary objective of the teaching is to give the student a broad overview of classical and more modern statistical methods for the analysis of economic and social phenomena. This is achieved by alternating between two teaching phases: lectures and computer-based exercises in the statistical environment R (R-Studio).
Although there are no formal prerequisites, it is useful for students to have a basic knowledge of statistics with particular regard to descriptive analysis for quantitative variables and principles of regression analysis.
Lectures with computer room exercises
Part I - The foundations of economic and social statistical analysis
Part II - Introduction to Statistical Learning
James G., Witten D., Hastie T. and Tibshirani R. (2021). Introduction to statistical learning, Springer. Freely available online at: https://www.statlearning.com/
Office hours: Office hours for the A.A. 2021/22 Office hours are usually Wednesdays from 4.30 p.m. to 5.30 p.m. in the teacher's studio located on the 5th floor of the West Tower of the Albergo dei Poveri's teaching centre and, at the same time, on the teacher's Teams channel (code qlpo4sd). In case of closure of the structure for health reasons, office hours will be exclusively on the Teams channel of the teacher. The students of the Department of Economics can arrange a reception by appointment on Mondays from 3.00 p.m. to 4.00 p.m. at the open Space Statistics teacher's desk at the 2nd level of the Darsena.
ENRICO DI BELLA (President)
LUCA GANDULLIA (Substitute)
RICCARDO SOLIANI (Substitute)
All class schedules are posted on the EasyAcademy portal.