Scheda insegnamento


L'insegnamento contribuisce al perseguimento degli Obiettivi di Sviluppo Sostenibile dell'Agenda 2030 dell'ONU.

Lavoro dignitoso e crescita economica Ridurre le disuguaglianze Consumo e produzione responsabili Partnership per gli obiettivi

Anno Accademico 2022/2023

Conoscenze e abilità da conseguire

By the end of the course, the students will have a good knowledge of the issues related to the measurement and modelling of economic behaviours, and more specifically: - the ability to provide a critical assessment on the quality and reliability of data from the main types of economic survey; - a good understanding of the specification and estimation techniques for a selection of statistical models grounded in economic theory; - a basic knowledge on the statistical models employed in the evaluation of economic policies with non-experimental data.


The course is structure in two separate but strictly related modules.

Module 1 will cover the following topics:

  • Statistics for economics: questions, models, data types, measurement
  • Issues in estimating economic models: causality, endogeneity, corner solutions and censoring, selection biases, theoretical restrictions
  • Introduction to economic modelling with Stata

Module 2 will cover the following topics:

  • Applications in economics & business: modelling consumer demand; evaluating the impact of public policies; evaluating the effects of supermarket promotions; market forecasts
  • Policy evaluation with quasi-experimental data: Difference-in-Difference, Regression Discontinuity Designs, Instrumental Variables, Propensity Score Matching


The course will be mainly based on lecture notes and chapters/papers provided through the e-learning platform

Some very useful reference books are:

Cameron, A. C. & Trivedi, P. K. (2022). Microeconometrics Using Stata. Volumes I and II. Second Edition. Stata Press.

Wooldridge, J.M. (2015). Introductory econometrics: A modern approach. South-Western Pub.

Angrist, J.D & Pischke, J-S. (2015). Mastering 'Metrics: The Path from Cause to Effect. Princeton University Press.

Metodi didattici

Each topic will be covered from both a theoretical and empirical perspective. Applications will be based on real data using the software STATA ®.

STATA is freely available to registered students, who can download the software and the license at this link using their student credentials. 

This course is part of the experimental blended teaching modality of the University of Bologna, with the objective to provide advanced empirical modelling and programming skills. 

There will be (at least) 6 on-line 3-hours "live" tutorials where students will be able to develop and run STATA codes directly on their PC, under the lecturer direction, supervision and support for any need. Furthermore, tutorials (including short videos) will be provided along with data and codes on the e-learning platform Virtuale.

Modalità di verifica e valutazione dell'apprendimento

Written exam.

The exam will be based on theoretical and empirical questions on topics and applications discussed during the course. The written exam is structured in two parts:

- A theoretical section, with multiple choice and/or open ended questions on topics covered during the course;

- An empirical question, where the student is presented with Stata codes and outputs produced during the course lab sessions, and is asked to interpret them and answer a set of questions

The two parts will equally weigh on the final mark.

Strumenti a supporto della didattica

The Virtuale e-learning platform will provide students with:

- Lecture slides and notes

- Useful readings (articles, book chapters, etc.)

- Data, codes, short videos and materials for the Stata tutorials

- Exam-type questions

These materials will be provided and integrated throughout the course.

Orario di ricevimento

Consulta il sito web di Mario Mazzocchi

Consulta il sito web di Beatrice Biondi