Scheda insegnamento

  • Docente Mario Mazzocchi

  • Crediti formativi 5

  • SSD SECS-S/03

  • Modalità didattica Convenzionale - Lezioni in presenza

  • Lingua di insegnamento Inglese

  • Campus di Bologna

  • Corso Laurea Magistrale in Health economics and management / economia sanitaria e management (cod. 8880)

    Valido anche per Laurea Magistrale in Economia e politica economica (cod. 8420)

  • Orario delle lezioni dal 20/09/2022 al 25/10/2022


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

Sconfiggere la fame Salute e benessere

Anno Accademico 2022/2023


  • Types of evaluation of health policies
  • Outcome measurement, indicators and data
  • Economic evaluation methods (overview)
  • Principles of causal inference, pros and cons of randomized trials and experiments
  • Evaluation with non-experimental observational data, selection biases, self-selection and endogeneity
  • Counterfactual estimation, Difference-in-Difference, Regression Discontinuity Design, Propensity Score Matching, Instrumental Variable Methods
  • Introduction to other evaluation approaches (micro-simulation, machine learning)
  • Empirical case studies and STATA coding


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

However, some key and very useful books are:

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

Angrist, Joshua D., and Jörn-Steffen Pischke, 2014. Mastering'metrics: The path from cause to effect. Princeton University Press.


A selection of journal articles will be recommended and distributed during the course

Metodi didattici

The course consists of a combination of theoretical lectures, case studies on real-life evaluations, and lab tutorials using STATA ®.

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

During the course, students will be provided with examples of evaluations through:

1) Lab sessions on the application of policy evaluation methods for quasi-experimental data using real data

2) A set of published articles on the evaluation of health policies


Modalità di verifica e valutazione dell'apprendimento

The final grade will be based on two assessments:

1) A take-home coursework assignment (structured into questions, to be uploaded on the EoI platform) where the students must interpret the evaluation outputs from the selected scientific articles distributed to the students during the course (50% of final grade). The assignment must be completed in the final week of the course through the EoL platform, and will consist in short text answers to questions about the paper.

2) A short test/exam (1 hour) administered through the EoL platform (students can use their laptop in the exam room, or opt for a pen-and-paper exam if they prefer) structured in two parts:
a) Multiple-choice questions on the foundation of evaluations of health promotion programs (25% of final grade)
b) A section on the interpretation of the stata outputs produced during the lab sessions (25% of final grade)

If students get a positive grade in the coursework assignment but fail the short test, they may choose to retake only the latter. Important: if students pass the short test but are unsatisfied with the overall grade, retakes involve a new assignment, it is not possible to retake individual parts with a positive grade.

Students not delivering the coursework assignment by the end of the course will need to complete an extra part in the exam, answering questions about their assignment (an extra 45 minutes will be added to the exam time).

Strumenti a supporto della didattica

This module provides a set of case studies on the evaluation of actual programs and policies aimed at promoting health. The e-learning platform will enable access to interactive contents, including real data-sets, codes, and case study reports.

Orario di ricevimento

Consulta il sito web di Mario Mazzocchi