Empirical Legal Studies
A.Y. 2024/2025
Learning objectives
This course aims at developing a rigorous understanding of the following concepts:
1. Why Empirical Research in Law matters
2. The concept of causality
2. Designing Research
3. Collecting & Coding Data
4. Statistical Software
5. Statistical Inference: linear and logistic regressions
1. Why Empirical Research in Law matters
2. The concept of causality
2. Designing Research
3. Collecting & Coding Data
4. Statistical Software
5. Statistical Inference: linear and logistic regressions
Expected learning outcomes
After successful completion of the course students are expected to be able to:
1. read and understand at a high-level empirical research in legal studies
2. detect empirical flaws in third-party statements or data presentations
3. identify questions that can be answered quantitatively
4. design and execute simple but rigorous empirical tests.
1. read and understand at a high-level empirical research in legal studies
2. detect empirical flaws in third-party statements or data presentations
3. identify questions that can be answered quantitatively
4. design and execute simple but rigorous empirical tests.
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course can be attended as a single course.
Course syllabus and organization
Single session
Lesson period
Second semester
SECS-P/11 - FINANCIAL MARKETS AND INSTITUTIONS - University credits: 6
Lessons: 42 hours