06445 - Business Statistics

Learning outcomes

The aim of the course is making students able to use quantitative models as a support for management's decisions. More precisissly student is able to make competitive analysis using statistical models, to analyse firm's performances and to forecast sales and market shares

Course contents

1. Evaluation of credit scores/merit

2. Time series analysis and forecast by decompositive method. Business cycle measure

3. Measures of productivity and efficiency.

4. Statistical decision theory and game theory (elementary).

5. Customer satisfaction measurement methods

6. Market response models.

Readings/Bibliography

1. Evaluation of credit scores/merit - Brasini, Freo, Tassinari, Tassinari,Statistica aziendale e analisi di mercato, Il Mulino, cap. . Dispensa sul sito web docente.

2) Time series analysis -Guarini, Tassinari, Statistica economica, Il Mulino, cap. 3. Lecture notes on teacher website.

3) Measurement of productivity and efficiency- Bracalente-Cossignani-Mulas, Statistica aziendale, McGrawHill, Cap. 6.

4) Lecture notes on teacher website.

5)Lecture notes on teacher website.

6) Market response models. Brasini et. al, Marketing e pubblicità, Il Mulino, 2010, Cap. 4.

Teaching methods

Lectures. Exercitations. Team working

Assessment methods

Oral exam. Questions will focus mainly on the characteristics of the statistical techniques illustrated in class and in the teaching material, on their usefulness in the business environment and on the practical precautions that must be observed in their application. A small demonstration or the completion of a short exercise may be required, only if present on the slides/handouts.

Teaching tools

Slides and lecture notes on the official teacher's website.

Office hours

See the website of Annalisa Stacchini