Training and Research
PhD Programme Courses/classes
This page shows the PhD course's training activities for the academic year 2024/2025. Further activities will be added during the year. Please check regularly for updates!
Introduction to Economics
Credits: 5
Language: English
Teacher: Roberto Ricciuti
Mathematics
Credits: 3.8
Language: English
Teacher: Andrea Mazzon
Probability
Credits: 7.5
Language: English
Teacher: Marco Minozzo
Mathematical Statistics
Credits: 5
Language: English
Teacher: Lorenzo Frattarolo, Claudia Di Caterina
Continuous Time Econometrics
Credits: 5
Language: English
Teacher: Chiara Amorino, Amorino Chiara, Cecilia Mancini
Macroeconomics I
Credits: 7.5
Language: English
Teacher: Khalid W A Shomali, Alessia Campolmi
Microeconomics 1
Credits: 7.5
Language: English
Teacher: Claudio Zoli, Martina Menon, Maurizio Malpede
Field Experiments
Credits: 1
Language: Italian
Teacher: Pol Campos
Game Theory
Credits: 5
Language: English
Teacher: Francesco De Sinopoli
Elements of Financial Risk Management
Credits: 2.5
Language: English
Teacher: Prof. Kim Christensen
Stochastic Optimization and Control
Credits: 5
Language: English
Teacher: Athena Picarelli
Financial Time Series
Credits: 5
Language: English
Teacher: Giuseppe Buccheri
Job Market Orientation
Credits: 1
Language: English
Teacher: Simone Quercia
Advice to Young Researchers
Credits: 4
Language: English
Teacher: Marco Piovesan
Finanza Matematica
Credits: 5
Language: English
Teacher: Guido Gazzani, Alessandro Gnoatto
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
Development economics
Credits: 4
Language: English
Teacher: Federico Perali
Health Economics
Credits: 4
Language: English
Teacher: Paolo Pertile
Political Economy
Credits: 4
Language: English
Teacher: Emanuele Bracco, Roberto Ricciuti
Quantitative research methods
Credits: 6.8
Language: English
Teacher: Luca Grassetti, Francesca Visintin, Laura Pagani
Stochastic Processes in Finance
Credits: 5
Language: English
Teacher: Sara Svaluto Ferro
Macroeconomics I (2024/2025)
Academic staff
Referent
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
Didactic methods
Frontal teaching.
Learning assessment procedures
1h30 Written exam
Assessment
Knowledge of the models analyzed in class
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 |
|---|---|---|---|
|
Friday 08 November 2024 14:00 - 17:00 Duration: 3:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Alessia Campolmi | Introduction |
|
Wednesday 13 November 2024 14:00 - 17:00 Duration: 3:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Alessia Campolmi | RBC model |
|
Friday 15 November 2024 14:00 - 17:00 Duration: 3:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Alessia Campolmi | RBC model |
|
Wednesday 20 November 2024 14:00 - 17:00 Duration: 3:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Alessia Campolmi | Comparing RBC against Macro Data - Empirical Evidence motivating NK models |
|
Friday 22 November 2024 14:00 - 17:00 Duration: 3:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Alessia Campolmi | NK model |
|
Wednesday 27 November 2024 14:00 - 17:00 Duration: 3:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Alessia Campolmi | NK model |
|
Monday 02 December 2024 14:00 - 17:00 Duration: 3:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Khalid W A Shomali | Chapter one of Acemoglu 2009 Introduction to Modern Economic Growth |
|
Thursday 05 December 2024 14:00 - 17:00 Duration: 3:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Khalid W A Shomali | Chapter two of Acemoglu 2009 Introduction to Modern Economic Growth |
|
Monday 09 December 2024 14:00 - 17:00 Duration: 3:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Khalid W A Shomali | Chapter three of Acemoglu 2009 Introduction to Modern Economic Growth |
|
Thursday 12 December 2024 14:00 - 17:00 Duration: 3:00 AM |
Polo Santa Marta - SMT.04 [SMT.4 - terra] | Khalid W A Shomali | Exercises |
