- Docente: Edoardo Redivo
- Credits: 3
- SSD: SECS-S/01
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
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Corso:
Second cycle degree programme (LM) in
Applied Economics and Markets (cod. 6756)
Also valid for Second cycle degree programme (LM) in Economics and Public Policy (cod. 6758)
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from Sep 02, 2025 to Sep 20, 2025
Learning outcomes
By the end of the course, students will be able to recall and apply key concepts in probability and statistics that serve as prerequisites for graduate study in econometrics and statistics.
Course contents
- Probability and random variables
- Basics of inferential statistics
- Estimation and hypothesis testing
- Linear regression model
For LMAEM students: the topics covered in this course serve as prerequisites for subsequent degree courses, where they will be assumed as known.
Readings/Bibliography
Wooldridge, Jeffrey M. Introductory Econometrics: A Modern Approach. Cengage. (Appendices B, C)
Teaching methods
Lectures held both in person and online.
Assessment methods
The course does not involve a final examination. To successfully complete the course, students must attend a minimum of 70% of the scheduled lectures.
Teaching tools
Notes and other supporting materials will all be made available on Virtuale.
Office hours
See the website of Edoardo Redivo