70141 - Health Econometrics

Academic Year 2022/2023

  • Teaching Mode: Traditional lectures
  • Campus: Bologna
  • Corso: Second cycle degree programme (LM) in Economics and Economic Policy (cod. 8420)

    Also valid for Second cycle degree programme (LM) in Health Economics and Management (cod. 8880)

Learning outcomes

At the end of the course the students have knowledge of a number of econometric models designed to study the behavior of economic agents using cross sectional and longitudinal data. They are able to critically evaluate the applications of the methods in the health economics field and to perform their own analysis in the context of new case studies.

Course contents

  1. Binary models
  2. Panel data models
  3. Event studies
  4. Survival analysis
  5. Synthetic controls
  6. Laboratory sessions devoted to the application to real data of different methods using the software STATA


Essential readings

  • Jeffrey M. Wooldridge, Introductory Econometrics: A Modern Approach, Cengage Learning, Seventh Edition, 2019.
  • Cunningham, S. (2021). Causal inference: The mixtape. Yale University Press.
  • Jenkins, Stephen P., Survival analysis. 2005 Unpublished manuscript, Institute for Social and Economic Research, University of Essex, Colchester, UK.

Additional readings

  • Cameron, A. Colin, and Pravin K. Trivedi. Microeconometrics: methods and applications. Cambridge university press, 2005.
  • Chris Baum, An Introduction to Modern Econometrics Using Stata, Stata Press

Teaching methods

During the lectures, the presentation of theoretical issues will be complemented by critical discussion of some applications from recent health econometrics research.

Students will receive data to practice at the computer and learn how to apply the various models using the software STATA, which is available to them through the CAMPUS license.

Assessment methods

The assessments include in-class participation, problem sets and written exam.

The maximum possible score is 30 cum laude, in case all anwers and exercises are correct, complete and formally rigorous.

The grade is expressed as follows:

<18 failed
18-23 sufficient
24-27 good
28-30 very good
30 e lode excellent

Teaching tools

Dedicated page on the VIRTUALE platform containing:

  • News and updated information
  • Lectures slides
  • STATA lab material

Software STATA: can be installed on students' personal computers (CAMPUS license) and is available at the Computer Lab of the School of Economics and Management.

Office hours

See the website of Elisabetta De Cao


Good health and well-being

This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.