Training and Research
PhD Programme Courses/classes
This page lists the training activities for the PhD programme for the academic year 2025/2026. Additional activities will be added during the year. Please check back regularly for updates!
Mathematics
Credits: 7.5
Language: English
Teacher: Corrado De Vecchi, Andrea Mazzon
Probability
Credits: 7.5
Language: English
Teacher: Marco Minozzo
Introduction to Economics
Credits: 5
Language: English
Teacher: Roberto Ricciuti
Mathematical Statistics
Credits: 5
Language: English
Teacher: Catia Scricciolo
Continuous Time Econometrics
Credits: 5
Language: English
Teacher: Cecilia Mancini
Macroeconomics I
Credits: 7.5
Language: INGLESE
Teacher: Tamara Fioroni, Alessia Campolmi
Microeconomics I
Credits: 10.5
Language: English
Teacher: Simona Fiore, Claudio Zoli, Martina Menon
Game Theory
Credits: 5
Language: English
Teacher: Francesco De Sinopoli
Financial Time Series
Credits: 5
Language: English
Teacher: Giuseppe Buccheri, Lorenzo Frattarolo
Stochastic Optimization and Control
Credits: 5
Language: English
Teacher: Athena Picarelli
Advice to Young Researchers
Credits: 4
Language: English
Teacher: Marco Piovesan
Job Market Orientation
Credits: 2
Language: English
Teacher: Simone Quercia
Behavioral and Experimental Economics
Credits: 4
Language: English
Teacher: Simone Quercia, Maria Vittoria Levati, Marco Piovesan
Inequality
Credits: 4
Language: English
Teacher: Francesco Andreoli, Claudio Zoli, Lidia Ceriani
Development Economics
Credits: 4
Language: Italian
Teacher: Federico Perali
Health Economics
Credits: 4
Language: English
Teacher: Paolo Pertile, Paola Bertoli
Stochastic Processes in Finance
Credits: 5
Language: English
Teacher: Sara Svaluto-Ferro
Political Economy
Credits: 4
Language: English
Teacher: Emanuele Bracco, Roberto Ricciuti
Financial Mathematics
Credits: 5
Language: Inglese
Teacher: Alessandro Gnoatto
Health Economics (2025/2026)
Academic staff
Referent
Credits
4
Language
English
Class attendance
Free Choice
Location
VERONA
Learning objectives
This course provides a comprehensive introduction to health economics - the application of economic principles and empirical methods to analyze issues in public health and healthcare delivery. We will explore how economic tools can shed light on the definition of policies aimed at improving the efficiency and equity of health systems and understanding the behaviour of agents involved in the system.
The aim of the course is twofold. On the one hand, it aims to provide a broad overview of the most relevant and currently debated topics in health economics. On the other hand, it is intended to give students the opportunity to approach the practical aspects of conducting research in health economics.
Upon completing this course, students will be able to:
- Identify the most relevant topics in the current debate on health economics and understand why they are important
- Understand the main mechanisms involving the interactions among different agents involved in the demand and supply of health and health care
- Identify appropriate methods to approach specific research questions in health economics
With a focus on real-world relevance, students will develop core skills to conduct rigorous economic analyses and research to critically examine public health challenges. This will enable using evidence-based approaches to improve population health outcomes, enhance healthcare system performance, and promote economic efficiency.
Prerequisites and basic notions
Microeconomics
Econometrics
Program
- Failures in health insurance markets
- Physicians’ role: intrinsic and extinsic motivation, response to financial and non-financial incentives, appropriateness, shortage of health personnel, integration of different levels of care
- Hospitals: integration vs separation of purchasers vs providers, purchaser-provider contracts, assessing the quality and efficiency of hospital services
Didactic methods
The first part of the course will mainly focus on the presentation of a number of relevant research topics in health economics. Students will be invited to participate in discussions to help them develop critical thinking and exchange ideas.
The second part of the course will focus on empirical applications and will also cover practical aspects of the research process.
Learning assessment procedures
Assessment will be based on two components:
- The presentation of a piece of research in health economics, including the identification of the main strengths and weaknesses of the research conducted. Alternatively, students can decide to present their own research question.
- A multiple-choice test based on the contents covered during the lectures
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
60% presentation
40% witten test
Scheduled Lessons
| When | Classroom | Teacher | topics |
|---|---|---|---|
|
Monday 11 May 2026 10:00 - 13:00 Duration: 3:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Paolo Pertile | - Modellizzazione teorica di problemi decisionali rilevanti per i provider di servizi sanitari |
|
Thursday 14 May 2026 14:00 - 17:00 Duration: 3:00 AM |
To be defined | Paolo Pertile | - Contesto regolatorio e incentivi all'investimento in ricerca e sviluppo per tecnologie sanitarie |
|
Friday 15 May 2026 11:00 - 13:00 Duration: 2:00 AM |
To be defined | Paolo Pertile | - Disuguaglianze nell'allocazione del finanziamento dei servizi sanitari |
|
Monday 18 May 2026 11:00 - 13:00 Duration: 2:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Paola Bertoli | Discussione paper empirico |
|
Tuesday 19 May 2026 10:00 - 13:00 Duration: 3:00 AM |
Polo Santa Marta - SMT.09 [SMT.9 - terra] | Paola Bertoli | conclusione paper empirico + DD & staggered DD |
|
Wednesday 20 May 2026 14:00 - 17:00 Duration: 3:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Paola Bertoli | Utilizzo di survey & survey experiment nella ricerca |
