- Docente: Giorgio Tassinari
- Credits: 9
- SSD: SECS-S/03
- Language: Italian
- Moduli: Giorgio Tassinari (Modulo 1) Sara Capacci (Modulo 2)
- Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
- Campus: Forli
- Corso: Second cycle degree programme (LM) in Economics and management (cod. 9203)
Learning outcomes
This course introduce students to the study of some multidimensional statistical methods, among the most frequently used in the firm, and to the use of a statistical software. Prerequisites: knowledge of basic statistical methods. Expected learning outcomes: at the end of the course the student is able to analyze the relationships of interdependence between business phenomena, to critically interpret empirical results, to use these results in the business decision process.
Course contents
- Business statistics.
- Multiple linear regression model and non linear regression models.
- Logistic regression for binary data
- Market segmentation
- Brand choice models
- Market response models
Readings/Bibliography
Brasini, S., Freo, M., Tassinari, F., Tassinari, G. (2010), Marketing e pubblicità, Bologna, Il Mulino
R.C.Hill, W.E. Griffiths, G.C.Lim “Principi di Econometria” (2012) Prima Edizione Italina – Zanichelli
Teaching methods
Lab and classroom lectures. The course will cover both theoretical and practical issues and problems sets will contain application to real data.
Assessment methods
The exam consists of a written test and of a test on the use of software SAS. Questions in the test cover the statistical methods, the use of these methods and the interpretation of the obtained results . In iol Campus some past exam papers with solutions can be found. During the written exam, students are not allowed to use the lectures notes or other material.
Teaching tools
Teaching materials are downloadable from the iol website,
Office hours
See the website of Giorgio Tassinari
See the website of Sara Capacci