Training and Research

PhD Programme Courses/classes

This page lists the training activities for the PhD programme for the academic year 2025/2026. Additional activities will be added during the year. Please check back regularly for updates!

Instructions for lecturers: managing lessons

Mathematics

Credits: 7.5

Language: English

Teacher:  Corrado De Vecchi, Andrea Mazzon

Probability

Credits: 7.5

Language: English

Teacher:  Marco Minozzo

Introduction to Economics

Credits: 5

Language: English

Teacher:  Roberto Ricciuti

Mathematical Statistics

Credits: 5

Language: English

Teacher:  Catia Scricciolo

Continuous Time Econometrics

Credits: 5

Language: English

Teacher:  Cecilia Mancini

Macroeconomics I

Credits: 7.5

Language: INGLESE

Teacher:  Tamara Fioroni, Alessia Campolmi

Microeconomics I

Credits: 10.5

Language: English

Teacher:  Simona Fiore, Claudio Zoli, Martina Menon

Game Theory

Credits: 5

Language: English

Teacher:  Francesco De Sinopoli

Financial Time Series

Credits: 5

Language: English

Teacher:  Giuseppe Buccheri, Lorenzo Frattarolo

Stochastic Optimization and Control

Credits: 5

Language: English

Teacher:  Athena Picarelli

Advice to Young Researchers

Credits: 4

Language: English

Teacher:  Marco Piovesan

Job Market Orientation

Credits: 2

Language: English

Teacher:  Simone Quercia

Behavioral and Experimental Economics

Credits: 4

Language: English

Teacher:  Simone Quercia, Maria Vittoria Levati, Marco Piovesan

Inequality

Credits: 4

Language: English

Teacher:  Francesco Andreoli, Claudio Zoli, Lidia Ceriani

Development Economics

Credits: 4

Language: Italian

Teacher:  Federico Perali

Health Economics

Credits: 4

Language: English

Teacher:  Paolo Pertile, Paola Bertoli

Stochastic Processes in Finance

Credits: 5

Language: English

Teacher:  Sara Svaluto-Ferro

Political Economy

Credits: 4

Language: English

Teacher:  Emanuele Bracco, Roberto Ricciuti

Financial Mathematics

Credits: 5

Language: Inglese

Teacher:  Alessandro Gnoatto

Credits

7.5

Language

INGLESE

Class attendance

Compulsory

Location

VERONA

Learning objectives

The course aims at providing students with basic background in the field of graduate macroeconomics. The focus will be on real and monetary models of the business cycle as well as long-run growth. The learning outcomes of the course are: understanding of the general framework used to study macro issues in modern macro; development of technical skills that enable students to critically evaluate core papers in the field; development of skills that enable students to take more advanced, topic-specific, macro courses.

Prerequisites and basic notions

NONE

Program

Part 3 – Long-Run Growth
12 hours – Lecturer: Tamara Fioroni
- Questions and evidence
- The Solow growth model
- Overlapping Generations model

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

In-person lessons

Learning assessment procedures

1h30 Written exam

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

Criteria for the composition of the final grade

The exam will cover Part 1 and 2. Each part will account for 50% of the final grade.

Scheduled Lessons

When Classroom Teacher topics
Monday 03 November 2025
11:00 - 13:30
Duration: 3:00 AM
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] Alessia Campolmi Introduction to modern macroeconomics
Friday 07 November 2025
14:00 - 16:30
Duration: 3:00 AM
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] Alessia Campolmi Basic RBC model
Wednesday 12 November 2025
14:00 - 16:30
Duration: 3:00 AM
Polo Santa Marta - LAB.SMS.3 - Aula Informatica [LAB.SMS.3 - sotterraneo] Alessia Campolmi How to solve a DSGE model with the method of undetermined coefficients.
Thursday 13 November 2025
14:00 - 16:30
Duration: 3:00 AM
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] Alessia Campolmi Successes and failures of RBC models, empirical evidence for price rigidity. Introduction to the NK models.
Friday 14 November 2025
14:00 - 16:30
Duration: 3:00 AM
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] Alessia Campolmi NK model
Friday 21 November 2025
14:00 - 16:30
Duration: 3:00 AM
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] Alessia Campolmi Comparison of different monetary policy rules in NK model + matlab programs for solving DSGE models
Monday 24 November 2025
09:00 - 11:00
Duration: 3:00 AM
Aula virtuale - Lezione online Tamara Fioroni Macroeconomics (I)
Thursday 27 November 2025
11:00 - 14:00
Duration: 3:00 AM
Aula virtuale - Lezione online Tamara Fioroni Macroeconomics (II)
Wednesday 10 December 2025
15:00 - 18:00
Duration: 3:00 AM
Polo Santa Marta - SMT.04 [SMT.4 - terra] Tamara Fioroni Macroeconomics (I)
Thursday 11 December 2025
14:00 - 17:00
Duration: 3:00 AM
Polo Santa Marta - LAB.SMS.3 - Aula Informatica [LAB.SMS.3 - sotterraneo] Tamara Fioroni Macroeconomics (I)