79078 - Workshop: Building Empirical Case Studies in Health Economics

Learning outcomes

At the end of the workshop the student has fully developed under standard econometric packages a portfolio of case studies in applied health economics, through the following steps: 1) data collection, managing and validation 2) definition of key question and model specification 3) estimation and testing 4) post-estimation analysis and reporting. The focus is on preparatory work (steps 1 and 2) and post-estimation analysis (step 4). At the end of the course the student is able to develop his/her own applied studies from scratch.

Course contents

The purpose of the workshop is to provide an overview of the most useful tools to conduct empirical quantitative analysis in health economics using STATA. The workshop is built around empirical studies and the emphasis will be on learning by example. At the end of the workshop, the students will be able to:

- Autonomously find and extract data from on-line data repository websites;

- Manage large health-related datasets built for socio-economic analysis;

- Prepare the data for the econometric analysis and perform descriptive analysis;

- Perform quantitative analysis, and interpret abd comment the econometric output;

- Report the research findings using relevant tables and figures in a journal-style manner.


The focus of the workshop will be on regression analysis and other multivariate methods and on quasi-experimental methods for causal analysis.

Teaching methods

Practical sessions using STATA. Part of the lectures will be online, the rest will be in presence. It is strongly reccommended to bring a personal computer in class with the software STATA installed.
Please note that all students must attend Module 1, 2 on Health and Safety online.

Assessment methods

Profitable participation is judged as PASS or FAIL. Attendance and active participation to classes will be valued. Successful participation requires at least 70% attendance.

Teaching tools

The Unibo e-learning platform (Virtuale) will be used to share all relevant teaching material.

Office hours

See the website of Luca Nunziata