Bio
Sergio Pastorello is Adjunct Professor at SAIS Europe
Professor of Econometrics, University of Bologna
Sergio Pastorello is Professor of Econometrics at the Department of Economics, University of Bologna, and Adjunct Professor, SAIS Europe. His research interests are in the fields of Econometrics, Causal Inference, Machine Learning, Artificial Intelligence, and Industrial Organization. His most recent work focuses on the effects of Artificial Intelligence on market outcomes, specifically the possibility that pricing algorithms driven by AI might lead to forms of tacit collusion, and the effects on market concentration and consumers’ welfare of Recommender Systems. He holds a PhD in Economics from the University of Bologna and a DEA in Economie Mathematique et Econometrie at the Université des Sciences Sociales of Toulouse. For a recent curriculum vitae including a full list of publications,
see his personal webpage.
Courses
- Econometrics
This course introduces students to multiple regression and other methods used to analyze data in economics, finance, marketing and political science. Topics include: multiple linear regression, regression with discrete random variables, instrumental variables regression, analysis of random experiments and quasi-experiments, and regression with panel data. Students will learn how to conduct and critique empirical studies. The course emphasizes empirical applications; the mathematical theory of econometrics will be introduced only as needed and will not be a central focus. In the lectures, many empirical examples using a wide variety of data sets will be illustrated.