Prof. Sara Capacci

Argomenti del programma: Regression models, causal inference methods

Argomenti del programma: Binary variables in regressions (intercept shift and interaction terms) Recap on elasticity and marginal effects Non-linear relations using the multiple linear regression: log transformations (log-log, log-linear and linear-log models) Endogeneity and the IV approach Introduction to (fixed-effects) panel data models (time permitting) Regression models for limited dependent variables: linear probability models,…

• The material (articles, commented notes & slides, programs and data-sets) will be distributed during the lectures and make available on the platform Virtuale.

Argomenti del programma: The course is designed to provide students with a working knowledge of hypothesis testing and regression analysis for understanding and interpreting multivariate data in business. Special focus will be put on interpreting estimation results. At the end of the course students will be able to: understand and properly apply hypothesis testing, multiple linear regression, and probit models for binary dependent variables…