Training and Research

Credits

7.5

Language

English

Class attendance

Free Choice

Location

VERONA

Learning objectives

Learn how to solve moderne Dynamic Stochastic General Equilibrium model to study both long-run and short-run dynamics of an economic system.

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

Lectures in the classroom

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

PhD school courses/classes - 2022/2023

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 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