- Docente: Elisabetta De Cao
- Credits: 6
- SSD: SECS-P/05
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Economics and Public Policy (cod. 5945)
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from Sep 16, 2024 to Oct 23, 2024
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
Binary models, panel models, survival models, synthetic control.
Readings/Bibliography
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Survival analysis. 2005 Unpublished manuscript, Institute for Social and Economic Research, University of Essex, Colchester, UK.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.
Teaching methods
In person lectures, practical tutorials
Assessment methods
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
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
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.
