70141 - HEALTH ECONOMETRICS

Conoscenze e abilità da conseguire

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.

Contenuti

Binary models, panel models, survival models, synthetic control.

Testi/Bibliografia

Introductory Econometrics: A Modern Approach, 2019, 7th Edition, Jeffrey M. Wooldridge.

Causal Inference: The Mixtape. Yale University Press, 2021. Cunningham, Scott.

Survival analysis. 2005 Unpublished manuscript, Institute for Social and Economic Research, University of Essex, Colchester, UK. Jenkins, Stephen P.

Metodi didattici

In person lectures, practical tutorials

Modalità di verifica e valutazione dell'apprendimento

The final grade will depend on:

• Quizzes in class
• Group problem sets
• Final exam

More details will be provided in the Virtuale page of the course.

The maximum possible score is 30 cum laude, in case all answers/course works are correct, complete and formally rigorous.

The grade is graduated as follows:

<18 failed
18-23 sufficient

24-27 good
28-30 very good

30 e lode excellent

Strumenti a supporto della didattica

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.

Orario di ricevimento

Consulta il sito web di Elisabetta De Cao