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

Matematica Finanziaria

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

7.5

Language

English

Class attendance

Free Choice

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 1 – Long-Run Growth
12 hours – Lecturer: Tamara Fioroni
- Questions and evidence
- The Solow growth model
- Overlapping Generations model
Part 2 – Real Business Cycle (RBC)
8 hours – Lecturer: Alessia Campolmi
- Empirical evidence on business cycle.
- Different types of macro models: What they are used for, weaknesses and strength.
- The basic version of the models we will focus on in this course: Ramsey model.
- Common extensions
Part 3 – Monetary Business Cycle
10 hours – Lecturer: Alessia Campolmi
- Empirical evidence on price rigidity.
- Different types of monetary macro models.
- The basic version of the model we will focus on: New Keynesian model.
- Common extensions.

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 with video recording

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 09 October 2023
14:00 - 17:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Alessia Campolmi Macroeconomics I
Tuesday 10 October 2023
14:00 - 17:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Tamara Fioroni Macroeconomics I
Wednesday 11 October 2023
14:00 - 17:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Tamara Fioroni Macroeconomics I
Thursday 12 October 2023
14:00 - 17:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Tamara Fioroni Macroeconomics I
Monday 16 October 2023
14:00 - 17:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Tamara Fioroni Macroeconomics I
Tuesday 17 October 2023
14:00 - 17:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Tamara Fioroni Macroeconomics I
Monday 23 October 2023
11:00 - 14:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Alessia Campolmi Macroeconomics I
Wednesday 25 October 2023
11:00 - 14:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Alessia Campolmi Macroeconomics I
Monday 30 October 2023
11:00 - 14:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Alessia Campolmi Macroeconomics I
Thursday 02 November 2023
14:00 - 17:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Alessia Campolmi Macroeconomics I
Friday 10 November 2023
14:00 - 17:00
Duration: 2:50 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Alessia Campolmi Macroeconomics I
Wednesday 13 December 2023
14:00 - 16:00
Duration: 12:10 AM
Polo Santa Marta - SMT.04 [SMT.4 - terra] Alessia Campolmi EXAM: Macroeconomics I
Friday 08 November 2024
14:00 - 17:00
Duration: 3:00 AM
Aula virtuale - Lezione online

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).

1. 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.
More information regarding CFUs is found in the Handbook for PhD Students: https://www.univr.it/phd-vademecum

2. 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. Please do not enquiry: if you entered the requested information, then registration was silently successful.

3. When Zoom links are not explicitly indicated, courses are delivered in presence only.

4. All information we have is published here. Please do not enquiry for missing information or Zoom links: as soon as we get new information, we will promptly publish it on this page.

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

PhD students

PhD students present in the:

Benedini Matteo

symbol email matteo.benedini@univr.it

Ngalamo Junior Parfait

symbol email juniorparfait.ngalamo@univr.it

Trettenero Alice

symbol email alice.trettenero@univr.it

Vecchi Simone

symbol email simone.vecchi@univr.it
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 2024/2025.

Documents

Title Info File
File pdf Guidelines PhD students pdf, en, 137 KB, 11/12/24
File pdf Linee guida dottorandi pdf, it, 137 KB, 11/12/24
File pdf Percorso formativo pdf, it, 125 KB, 11/12/24
File pdf Training program pdf, en, 124 KB, 11/12/24