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