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
Behavioral and Experimental Economics (2023/2024)
Academic staff
Referent
Credits
4
Language
English
Class attendance
Free Choice
Location
VERONA
Learning objectives
The course aims to provide students with appropriate tools for conducting controlled economic experiments and with concepts of behavioral economics, paying attention to alternative theories of individual choice behavior.
Prerequisites and basic notions
There is no mandatory requirement. Knowledge of microeconomics, game theory and basic statistics is however appreciated.
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.
Bibliography
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 |
|---|---|---|---|
|
Wednesday 24 April 2024 14:00 - 18:00 Duration: 4:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Maria Vittoria Levati | Behavioral and Experimental Economics |
|
Tuesday 07 May 2024 14:00 - 17:00 Duration: 3:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Maria Vittoria Levati | Behavioral and Experimental Economics |
|
Thursday 09 May 2024 14:00 - 17:00 Duration: 3:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Maria Vittoria Levati | Behavioral and Experimental Economics |
|
Tuesday 14 May 2024 14:00 - 17:00 Duration: 3:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Simone Quercia | Behavioral and Experimental Economics |
|
Thursday 16 May 2024 14:00 - 17:00 Duration: 3:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Marco Piovesan | Behavioral and Experimental Economics |
