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

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

Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

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
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