Training and Research
PhD Programme Courses/classes
Mathematical Statistics
Credits: 5
Language: English
Teacher: Catia Scricciolo
Microeconomics 1
Credits: 7.5
Language: English
Teacher: Simona Fiore, Claudio Zoli, Martina Menon
Continuous Time Econometrics
Credits: 5
Language: English
Teacher: Cecilia Mancini
Probability
Credits: 7.5
Language: English
Teacher: Marco Minozzo
Macroeconomics I
Credits: 7.5
Language: English
Teacher: Tamara Fioroni, Alessia Campolmi
Game Theory
Credits: 5
Language: English
Teacher: Francesco De Sinopoli
Mathematics
Credits: 4.5
Language: English
Teacher: Andrea Mazzon, Jonathan Yick Yeung Tam
Advice to Young Economists
Credits: 4
Language: English
Teacher: Marco Piovesan
Stochastic Optimization and Control
Credits: 5
Language: English
Teacher: Athena Picarelli
Financial Time Series
Credits: 5
Language: English
Teacher: Giuseppe Buccheri, Francesca Rossi
Mean Field Games (part I)
Credits: 2.5
Language: English
Teacher: Luciano Campi
Job Market Orientation
Credits: 1
Language: English
Teacher: Joan Madia, Simone Quercia
Discretization of Processes
Credits: 4.5
Language: English
Teacher: Jean Jacod
Topics in applied economics with administrative data
Credits: 1
Language: English
Teacher: Edoardo Di Porto
Multivariate Analysis with Latent Variables: The SEM Approach
Credits: 3
Language: English
Teacher: Albert Satorra
Finanza Matematica
Credits: 5
Language: English
Teacher: Alessandro Gnoatto
Political Economy
Credits: 4
Language: English
Teacher: Emanuele Bracco, Roberto Ricciuti
Finite Mixture Models in Health Economics: Theory and Applications
Credits: 1
Language: English
Teacher: Paolo Li Donni
Inequality
Credits: 4
Language: English
Teacher: Francesco Andreoli, Claudio Zoli
Behavioral and Experimental Economics
Credits: 4
Language: English
Teacher: Simone Quercia, Maria Vittoria Levati, Marco Piovesan
Health Economics
Credits: 4
Language: English
Teacher: Paolo Pertile
Development economics
Credits: 4
Language: English
Teacher: Federico Perali
Finance
Credits: 4
Language: English
Teacher: Giorgio Vocalelli
Mean Field Games (part II)
Credits: 2.5
Language: English
Teacher: Giulia Liveri
Stochastic Processes in Finance
Credits: 5
Language: English
Teacher: Sara Svaluto-Ferro, Christa Cuchiero
Dynamic Corporate Finance
Credits: 2
Language: Englìsh
Health Economics (2023/2024)
Teacher
Referent
Credits
4
Language
English
Class attendance
Free Choice
Location
VERONA
Learning objectives
This course provides an introduction to health economics, the application of economic theory and empirical analysis to problems in the public health and healthcare sector. We will examine how the tools of economics can be used to analyse issues such as health-related behaviours, the efficiency of health care provision and the role of asymmetric information.
By the end of this course, students will be able to:
understand fundamental economic concepts of supply, demand, and markets as they apply to healthcare; evaluate health policies through modern tools for the economic analysis.
This course focuses on real-world application of health economics. Students will develop the core skills needed to critically examine problems and contribute evidence to improve population health outcomes, system performance, and economic efficiency.
Prerequisites and basic notions
Microeconomics
Econometrics
Program
- The demand for health and health care over the life cycle and the dynamics of health expenditure
- Risky behaviours and the impact of policies promoting healthy lifestyles
- Health inequality and its determinants over the life cycle
- Agents involved in the provision of healthcare: objectives and interactions
- The purchaser-provider relationship and asymmetries of information
- Second-best contracts for the provision of healthcare
- The role of competition among providers: theory and applications
- Measuring (in)efficiency in the provision of healthcare: theory and applications
Bibliography
Didactic methods
In-class lectures, with presentations to share illustrative slides and key content with students.
In-class discussions facilitated by the instructor on relevant themes, complex concepts and practical applications to promote active participation, critical thinking and exchange of perspectives among students.
Practical exercises for groups of students during lessons to collaboratively apply theoretical teachings through case studies, problem-solving activities, and analysis of real scenarios.
Learning assessment procedures
The assessment will be based on three assignments. Presentations of some of the work undertaken for the assignments will form part of the assessment.
First assignment: Students will be provided with a manuscript draft and will have to write an 800 word referee report, including a 100 word original summary of the paper, and at least 5 major and 5 minor suggestions for the paper.
Second assignment: Students will have to choose a paper within a sample of papers that have had their abstract, and introduction removed. The assignment consists in writing a 1200 word introduction and a 150 word abstract.
Third assignment: Students will provided with AI generated answers to some specific research questions. They will have to comment on the answer correctness and possible limitations.
Written assignments: Students will complete short essays or response papers during the course to analyze cases, answer questions that assess learning, or summarize research. These allow the instructor to evaluate writing abilities.
Assessment
Assessment will take into account the student's ability to understand the issues addressed and methods presented and to use these skills to address relevant research questions.
Criteria for the composition of the final grade
75% assignment
25% presentation
Scheduled Lessons
| When | Classroom | Teacher | topics |
|---|---|---|---|
|
Tuesday 30 April 2024 14:00 - 18:00 Duration: 4:00 AM |
Polo Santa Marta - SMT.07 [SMT.7 - terra] | Health Economics | |
|
Wednesday 08 May 2024 14:00 - 18:00 Duration: 4:00 AM |
Polo Santa Marta - SMT.07 [SMT.7 - terra] | Health Economics | |
|
Thursday 09 May 2024 09:00 - 13:00 Duration: 4:00 AM |
Polo Santa Marta - SMT.07 [SMT.7 - terra] | Paolo Pertile | Health Economics |
|
Friday 10 May 2024 09:00 - 13:00 Duration: 4:00 AM |
Polo Santa Marta - SMT.07 [SMT.7 - terra] | Paolo Pertile | Health Economics |
