Training and Research

PhD Programme Courses/classes

This page shows the PhD course's training activities for the academic year 2024/2025. Further activities will be added during the year. Please check regularly for updates!

Instructions for teachers: lesson management

Introduction to Economics

Credits: 5

Language: English

Teacher:  Roberto Ricciuti

Mathematics

Credits: 3.8

Language: English

Teacher:  Andrea Mazzon

Probability

Credits: 7.5

Language: English

Teacher:  Marco Minozzo

Mathematical Statistics

Credits: 5

Language: English

Teacher:  Lorenzo Frattarolo, Claudia Di Caterina

Continuous Time Econometrics

Credits: 5

Language: English

Teacher:  Chiara Amorino, Amorino Chiara, Cecilia Mancini

Macroeconomics I

Credits: 7.5

Language: English

Teacher:  Khalid W A Shomali, Alessia Campolmi

Microeconomics 1

Credits: 7.5

Language: English

Teacher:  Claudio Zoli, Martina Menon, Maurizio Malpede

Field Experiments

Credits: 1

Language: Italian

Teacher:  Pol Campos

Game Theory

Credits: 5

Language: English

Teacher:  Francesco De Sinopoli

Elements of Financial Risk Management

Credits: 2.5

Language: English

Teacher:  Prof. Kim Christensen

Stochastic Optimization and Control

Credits: 5

Language: English

Teacher:  Athena Picarelli

Financial Time Series

Credits: 5

Language: English

Teacher:  Giuseppe Buccheri

Job Market Orientation

Credits: 1

Language: English

Teacher:  Simone Quercia

Advice to Young Researchers

Credits: 4

Language: English

Teacher:  Marco Piovesan

Finanza Matematica

Credits: 5

Language: English

Teacher:  Guido Gazzani, Alessandro Gnoatto

Behavioral and Experimental Economics

Credits: 4

Language: English

Teacher:  Simone Quercia, Maria Vittoria Levati, Marco Piovesan

Stochastic Processes in Finance

Credits: 5

Language: English

Teacher:  Sara Svaluto-Ferro

Health Economics

Credits: 4

Language: English

Teacher:  Paolo Pertile

Development economics

Credits: 4

Language: English

Teacher:  Federico Perali

Political Economy

Credits: 4

Language: English

Teacher:  Emanuele Bracco, Roberto Ricciuti

Inequality

Credits: 4

Language: English

Teacher:  Francesco Andreoli, Claudio Zoli

Quantitative research methods

Credits: 6.8

Language: English

Teacher:  Luca Grassetti, Francesca Visintin, Laura Pagani

Credits

4

Language

English

Class attendance

Free Choice

Location

VERONA

Learning objectives

A partire da osservazioni sperimentali e avvalendosi di strumenti sviluppati nell’ambito di altre discipline (quali la psicologia sociale e, più recentemente, le neuroscienze), l’economia comportamentale elabora modelli di comportamento alternativi rispetto a quelli formulati dalla teoria economica tradizionale. Il suo obiettivo principale è incrementare il potere esplicativo e previsionale della teoria economica attraverso l’analisi delle limitazioni cognitive e dei fattori di condizionamento sociale che influenzano i processi decisionali individuali e collettivi. Il corso si propone di introdurre gli studenti alla disciplina dell’economia comportamentale fornendo una panoramica degli argomenti principali che hanno reso questa disciplina imprescindibile nel bagaglio di un economista. Nel trattare i suddetti argomenti il corso analizza contributi teorici ed empirici con un particolare focus sul metodo sperimentale fornendo strumenti metodologici per la conduzione di esperimenti in laboratorio o sul campo.

Program

The available evidence in psychology and economics suggests that individuals' behaviors deviate from the standard economic theory systematically. In this course, we will introduce the modern advances in behavioral economics and bounded rationality, including time-inconsistent preferences and self-control, judgment under risk and uncertainty, imperfect knowledge and social emotions, and show the economic implications of those psychologically richer models. Meanwhile, we aim to answer the question why individuals are "biased", and tend to find the link of some aspects of psychological regularities.
The course deals with methodological, theoretical, historical and practical aspects of experimental and behavioral economics.
Students are expected to read and discuss several papers that attempt to synthesize existing models in psychology and economics. Finally, we will present empirical papers drawn from a variety of fields (consumption, development economics, environmental economics, health economics, labor economics, political economy) as possible applications of these behavioral insights.
Throughout the course we will do our best to point out what seem to us like good directions for research in behavioral economics. In addition, as an incentive to get you started, the exam consists of analyzing a specific paper and proposing a possible extension.
MODULE 1 (Levati)
- Introduction. Methodology of Experimental Economics. What sort of knowledge social scientists can collect in the laboratory and what experiments can tell us about economic theories. Specific methods and techniques for conducting economic experiments, focusing on basic rules for reaching control in experiments. What is a field experiment: a taxonomy and a brief history.
- Social preferences, Inequity Aversion and Reciprocity (theory and experimental evidence).
MODULE 2 (Quercia):
- Risk preferences, reference dependence, prospect theory (theory and experimental evidence).
- Time preferences, time inconsistency, present bias and hyperbolic discounting (theory and experimental evidence and strategies to tackle self-control problems).
MODULE 3 (Piovesan)
- Behavioral Insights / Nudging theory and applications to environment, health, education, charitable giving, saving, discrimination.

Didactic methods

Frontal teaching.

Learning assessment procedures

Students have to read a recent paper on Behavioral and Experimental Economics (theoretical or empirical) suggested by us and write: 1) a "referee report" containing a short summary of the paper, a detailed analysis of the strengths and weaknesses of the paper; 2) a proposal of a possible extension of that paper.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Scheduled Lessons

When Classroom Teacher topics
Friday 18 April 2025
14:00 - 18:00
Duration: 4:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Maria Vittoria Levati The methodology of experimental economics
Tuesday 29 April 2025
16:00 - 19:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Maria Vittoria Levati Field experiments
Tuesday 06 May 2025
14:00 - 17:00
Duration: 3:00 AM
Polo Santa Marta - SMT.01 [SMT.1 - terra] Maria Vittoria Levati Social preferences
Tuesday 13 May 2025
14:00 - 17:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Simone Quercia TBA
Tuesday 20 May 2025
14:00 - 17:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Marco Piovesan Behavioral Insights