Analytics and Data Science in Economics and Management II

Empirical studies on heterogeneous firms (F. Pammolli, A. Rungi):
This part of the course aims at providing students with hands-on empirical tools to test the behaviour of economic agents that are heterogeneous in nature. How productive is a firm, an industry or a country? Why? Where is it more profitable to locate an economic activity? How long can we expect a company to outlive its competitors? After introductions to up-to-date illustrative contributions to economic literature, students will be asked to perform their own analyses and comment results after applications to micro data provided during the course. The objective is to develop a critical understanding of the iterative research process leading from real economic data to the choice of the best tools available from the analyst kit.

Business analytics (M. Riccaboni):
The goal is to teach the students how to produce an empirical paper in business research using quantitative data. We cover some of the most widely used methodologies. The course will bridge the gap between applications of methods in published papers and practical lessons for producing your own research.

TBD (J. Marcucci)

Prerequisites: Analytics and Data Science in Economics and management I + Econometrics