Training and Research

PhD Programme Courses/classes - 2023/2024

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

Financial Mathematics

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, Catia Nicodemo

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.

When and where

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
Polo Santa Marta - SMT.07 [SMT.7 - terra] 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: 1:50 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Francesco De Sinopoli Game Theory
Wednesday 20 December 2023
10:00 - 13:00
Duration: 12:10 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Francesco De Sinopoli EXAM: Game Theory

PhD school courses/classes - 2023/2024

Please note: Additional information will be added during the year. Currently missing information is labelled as “TBD” (i.e. To Be Determined).

PhD students must obtain a specified number of CFUs each year by attending teaching activities offered by the PhD School.
First and second year students must obtain 8 CFUs. Teaching activities ex DM 226/2021 provide 5 CFUs; free choice activities provide 3 CFUs.
Third year students must obtain 4 CFUs. Teaching activities ex DM 226/2021 provide 2 CFUs; free choice activities provide 2 CFUs.

Registering for the courses is not required unless explicitly indicated; please consult the course information to verify whether registration is required or not. When registration is actually required, no confirmation e-mail will be sent after signing up.

Teaching Activities ex DM 226/2021: Linguistic Activities

Teaching Activities ex DM 226/2021: Research management and Enhancement

Teaching Activities ex DM 226/2021: Statistics and Computer Sciences

Teaching Activities: Free choice

Faculty

A B C D F G L M N P Q R S T V Z

Andreoli Francesco

symbol email francesco.andreoli@univr.it symbol phone-number 045 802 8102

Bracco Emanuele

symbol email emanuele.bracco@univr.it symbol phone-number 045 802 8293

Buccheri Giuseppe

symbol email giuseppe.buccheri@univr.it symbol phone-number 045 8028525

Bucciol Alessandro

symbol email alessandro.bucciol@univr.it symbol phone-number 045 802 8278

Campolmi Alessia

symbol email alessia.campolmi@univr.it symbol phone-number 045 802 8071

Cipriani Giam Pietro

symbol email giampietro.cipriani@univr.it symbol phone-number 045 802 8271

Demo Edoardo

symbol email edoardo.demo@univr.it symbol phone-number 045 802 8782 (VR) 0444.393930 (VI)

De Sinopoli Francesco

symbol email francesco.desinopoli@univr.it symbol phone-number 045 842 5450

Fiore Simona

symbol email simona.fiore@univr.it

Fioroni Tamara

symbol email tamara.fioroni@univr.it

Gnoatto Alessandro

symbol email alessandro.gnoatto@univr.it symbol phone-number 045 802 8537

Levati Maria Vittoria

symbol email vittoria.levati@univr.it symbol phone-number 045 802 8640

Mancini Cecilia

symbol email cecilia.mancini@univr.it

Mazzon Andrea

symbol email andrea.mazzon@univr.it

Menon Martina

symbol email martina.menon@univr.it

Minozzo Marco

symbol email marco.minozzo@univr.it symbol phone-number 045 802 8234

Nicodemo Catia

symbol email catia.nicodemo@univr.it symbol phone-number +39 045 8028340

Perali Federico

symbol email federico.perali@univr.it symbol phone-number 045 802 8486

Pertile Paolo

symbol email paolo.pertile@univr.it symbol phone-number 045 802 8438

Picarelli Athena

symbol email athena.picarelli@univr.it symbol phone-number 045 8028242

Piovesan Marco

symbol email marco.piovesan@univr.it symbol phone-number 045.80.28.104

Quercia Simone

symbol email simone.quercia@univr.it symbol phone-number 045 802 8237

Renò Roberto

symbol email roberto.reno@univr.it symbol phone-number 045 802 8526

Ricciuti Roberto

symbol email roberto.ricciuti@univr.it symbol phone-number 0458028417

Rossi Francesca

symbol email francesca.rossi_02@univr.it symbol phone-number 045 802 8098

Scricciolo Catia

symbol email catia.scricciolo@univr.it symbol phone-number 045 8028341

Sommacal Alessandro

symbol email alessandro.sommacal@univr.it symbol phone-number 045 802 8716

Svaluto Ferro Sara

symbol email sara.svalutoferro@univr.it symbol phone-number 045 8028783

Veronesi Marcella

symbol email marcella.veronesi@univr.it

Vocalelli Giorgio

symbol email giorgio.vocalelli@univr.it

Zarri Luca

symbol email luca.zarri@univr.it symbol phone-number 045 802 8101

Zoli Claudio

symbol email claudio.zoli@univr.it symbol phone-number 045 802 8479

PhD students

PhD students present in the:

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Course lessons
PhD Schools lessons

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Guidelines for PhD students

Below you will find the files that contain the Guidelines for PhD students and rules for the acquisition of ECTS credits (in Italian: "CFU") for the Academic Year 2023/2024.

Documents

Title Info File
File pdf Guidelines PhD students pdf, en, 334 KB, 19/04/24
File pdf Linee guida dottorandi pdf, it, 251 KB, 19/04/24
File pdf Percorso formativo pdf, it, 283 KB, 19/04/24
File pdf Training program pdf, en, 358 KB, 19/04/24