METHODS AND STATISTICAL MODELS FOR ECONOMICS AND PUBLIC POLICIES Single channel
Chair (Coordinator) and Rapporteur: DANIELA MARELLA
Module 1: Sample designs for policy analysis
- Activity type
- Discipline Statistiche e Matematiche
- SSD
- SECS-S/01
- Year
- N/D
- Semester
- N/D
- CFU
- 6
- Hours distribution
- 48 classroom hours
- Lecturers
- DANIELA MARELLA
DANIELA MARELLA
Module 2: Statistical models for the economy
- Activity type
- Discipline Statistiche e Matematiche
- SSD
- SECS-S/01
- Year
- N/D
- Semester
- N/D
- CFU
- 6
- Hours distribution
- 48 classroom hours
- Lecturers
- VINCENZINA VITALE
Objectives
The formative objectives of the course include understanding the general principles for designing and implementing sample surveys on finite populations. In this regard, both probabilistic and non-probabilistic techniques will be discussed, emphasizing their advantages and disadvantages, and the definition of estimates of the most important population parameters and the evaluation of the sampling error of estimators will be carried out. In addition, the course aims to provide students with some basic knowledge about nonsampling errors, the different types and their effect on the validity of survey results. Such knowledge will enable students to interpret sampling results in relation to sustainability by identifying possible intervention strategies.
Learning outcomes
Module: Sample designs for policy analysis
N/D
Module: Statistical models for the economy
N/D
Prerequisites
Module: Sample designs for policy analysis
N/D
Module: Statistical models for the economy
Basics of Probability and Statistical Inference.
Programme
Module: Sample designs for policy analysis
N/D
Module: Statistical models for the economy
1. Introduction to R software
2. Review on random variables
3. Linear regression model
4. Statistical Inference for Regression
5. Some extensions of linear regression model
6. Models with discrete dependent variables
Books
Module: Sample designs for policy analysis
N/D
Module: Statistical models for the economy
- R. Carter Hill William E. Griffiths Guay C. Lim. Principi di econometria. Zanichelli
- Venables WN, Smith DM, and the R Core Team. An introduction to R. Disponibile su: https://cran.r-project.org/manuals.html.
Bibliography
Module: Sample designs for policy analysis
N/D
Module: Statistical models for the economy
N/D
Lessons mode
Module: Sample designs for policy analysis
N/D
Module: Statistical models for the economy
N/D
Frequency
Module: Sample designs for policy analysis
N/D
Module: Statistical models for the economy
THE ATTENDANCE OF THE COURSE IS OPTIONAL AND NOT COMPULSORY.
Exam mode
Module: Sample designs for policy analysis
N/D
Module: Statistical models for the economy
The final exam consists of a written test including exercises and open questions
Example exam questions
Module: Sample designs for policy analysis
N/D
Module: Statistical models for the economy
N/D
Arguments
Module: Sample designs for policy analysis
N/D
Module: Statistical models for the economy
- Introduction to R
- Review on random variables
- Types of data
- Simple Linear regression model
- Interval estimate and hypotesis testing
- Least square prediction - goodness of fit
- Multiple regression model - polynomial models
- Other results on regression model
- log-log models - log-linear models - Linear-log models
- Dummy variables
- Logistic regression model
- Academic year2026/2027
- Degree program to which the course belongsEconomics and policies for global sustainability
- Mandatory presenceNo
- Languageita
- CFU12 CFU, distributed among 2 integrated didactic modules
- Total duration96 hours