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!
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
Behavioral and Experimental Economics (2024/2025)
Academic staff
Referent
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.
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 |
