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

5

Language

English

Class attendance

Free Choice

Location

VERONA

Learning objectives

The goal of the course is to give students a solid background in Game Theory. Game theory provides a structured way to study strategic interactions and can be used to better understand business strategy, contracts, auctions, voting systems, crime, bargaining, and virtually any social interaction one can think of. At the end of the course students should be able to critically read and understand models proposed by economists to describe the above social interactions. Furthermore, students should be able to describe such social interactions as games.

Prerequisites and basic notions

Noone

Program

Normal Form Games.
-Nash Equilibrium.
-Iterated Dominance.
-Incomplete Information.
-Trembling-Hand Perfection.
Extensive Form Games.
-Backward Induction.
-Subgame Perfection.
-Sequential Equilibrium and Extensive Form Perfection.
-Beliefs-based Refinements.

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.

Didactic methods

Frontal

Learning assessment procedures

Written test

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

Assessment

The examination spans all over the program and aims to test the understanding of the main concepts introduced. In the grading process, more enphasis will be given to the reasonings than to the exact calculations.

Criteria for the composition of the final grade

.

Scheduled Lessons

When Classroom Teacher topics
Tuesday 10 October 2023
09:00 - 12:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Francesco De Sinopoli Game Theory
Thursday 12 October 2023
09:00 - 11:00
Duration: 2:00 AM
To be defined Francesco De Sinopoli Game Theory
Tuesday 17 October 2023
09:00 - 12:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Francesco De Sinopoli Game Theory
Thursday 19 October 2023
09:00 - 11:00
Duration: 2:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Francesco De Sinopoli Game Theory
Tuesday 24 October 2023
09:00 - 12:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Francesco De Sinopoli Game Theory
Thursday 26 October 2023
09:00 - 11:00
Duration: 2:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Francesco De Sinopoli Game Theory
Tuesday 31 October 2023
09:00 - 12:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Francesco De Sinopoli Game Theory
Thursday 02 November 2023
09:00 - 11:00
Duration: 2:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Francesco De Sinopoli Game Theory