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, 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
Macroeconomics I (2023/2024)
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
In-person lessons with video recording
Learning assessment procedures
1h30 Written exam
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 |