STATISTICAL MODELS FOR SUSTAINABILITY
Channel 1
EDOARDO OTRANTO
Lecturers' profile
Program - Frequency - Exams
Course program
linear regression and correlation
multivariate relationships
multiple regression and correlati
regression model with dummy variables
model selection procedures
regression diagnostics
multicollinearity effects
time series: components of a time series and their estimation; moving averages
Prerequisites
Knowledge of the basic elements of descriptive and inferential statistics is required, in particular estimation, confidence intervals and hypothesis testing.
Books
A. Agresti: Statistical Methods for the Social Sciences, Pearson
James H. Stock & Mark W. Watson: Introduction to Econometrics — Pesrson
Frequency
Attendance, while not mandatory, is strongly recommended.
Exam mode
The test consists of 8 closed and 2 open-ended theoretical questions and 2 exercises on the models studied
Bibliography
Jeffrey M. Wooldridge: Introductory Econometrics: A Modern Approach, South Western
Lesson mode
Lectures with practical exercises using the free Gretl software and Excel
- Lesson code10620824
- Academic year2025/2026
- CourseSociology for sustainability and analysis of global processes
- CurriculumLavoro, Politiche, Spazi, Culture e Tecnologie per la transizione sostenibile
- Year1st year
- Semester2nd semester
- SSDSECS-S/01
- CFU6