- Docente: Cristina Bernini
- Credits: 8
- SSD: SECS-S/03
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Rimini
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Corso:
First cycle degree programme (L) in
Statistics, Finance and Insurance (cod. 5901)
Also valid for First cycle degree programme (L) in Economics of Tourism (cod. 8847)
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from Mar 04, 2025 to May 20, 2025
Learning outcomes
The course offers methodological tools for analysing enterprise business functions and investigating market characteristics. Statistical methods for the business analysis and strategic decisions are illustrated. Case studies on real data are also discussed.
Course contents
The main parts of the couse are:
Statistical methods for firms: from information to decisions: Quantitative methods for business analysis; Organizing firm data: the business informative system; How to use budget information?.
Information and models for strategic decisions: Statistical analysis of production: productivity and efficiency measures; Information and models for the inventory management; Customers analysis and marketing; Investments analysis and strategic decisions; How to predict business crises?
Information for analysing the markets structure: Spatial analysis of economic activity; Understanding market characteristics; Spillover effects analysis
For each topic , specific analyses are carried out on real data, by using the STATA software.
Readings/Bibliography
Teacher's notes
Teaching methods
Theory and empirical applications.
It is possible to use STATA using the Unibo license, available at the following link: https://www.unibo.it/secure/software-stata/istruzioni.aspx#licenza
As concerns the teaching methods of this course unit, all students must attend Module 1, 2 [https://www.unibo.it/en/services-and-opportunities/health-and-assistance/health-and-safety/online-course-on-health-and-safety-in-study-and-internship-areas] on Health and Safety online”.
Assessment methods
At the end of the course, students are expected to hold the following competences: the ability to apply statistical methods and tools presented during the course; the ability to use statistical results to interpret the phenomenon under analysis and support firm decision-making processes. Knowledge and competences acquired are assessed through two written (optional) tests and a final oral exam. Written (optional) tests are scheduled for the midterm and immediately after the end of classes; the oral exam is after the end of classes. Passing the written tests, an oral exam on a specific argument of the course is required (i.e. Firm crisis and Multiple Discriminant Analysis).
Teaching tools
Empirical case studies at the computer lab
Office hours
See the website of Cristina Bernini
SDGs



This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.