Dynamic economic modeling
A.A. 2024/2025
Obiettivi formativi
This course is designed to provide a rigorous introduction to dynamic economic modeling. Its objectives are threefold: to equip students with the basic analytical tools to model intertemporal choices; to provide a coherent framework to understand macroeconomic fluctuations and policies; to endow students with an understanding of basic computational tools to solve and analyze dynamic macroeconomic models.
Risultati apprendimento attesi
By the end of the course, students will be endowed with a coherent analytical framework to understand contemporary macroeconomic issues, such as recessions and crises, as well as numerical tools to simulate and understand the impact of economic shocks and policy interventions.
Periodo: Terzo trimestre
Modalità di valutazione: Esame
Giudizio di valutazione: voto verbalizzato in trentesimi
Corso singolo
Questo insegnamento può essere seguito come corso singolo.
Programma e organizzazione didattica
Edizione unica
Responsabile
Periodo
Terzo trimestre
Programma
Introduction to dynamics: 2-period model
- Endowment economy
- Production economy
Methods and models of modern macroeconomics
- T-period model and infinite horizon
- Solution methods: value function iteration, perturbation and introduction to Dynare
- Towards General Equilibrium models: a simple RBC model
The programme may be subject to some year-to-year changes. Please check the ARIEL website for the updated programme.
- Endowment economy
- Production economy
Methods and models of modern macroeconomics
- T-period model and infinite horizon
- Solution methods: value function iteration, perturbation and introduction to Dynare
- Towards General Equilibrium models: a simple RBC model
The programme may be subject to some year-to-year changes. Please check the ARIEL website for the updated programme.
Prerequisiti
Students are expected to have fully mastered the following topics: linear algebra, intermediate calculus, static optimization. Students are expected to have a reasonable knowledge of topics taught in introductory and intermediate macroeconomics. Basic knowledge of dynamical systems (discrete time) and of dynamic optimization is useful.
Metodi didattici
The course uses both lectures in which students will be given a theoretical background and classes mainly devoted to solving exercises and coding.
Materiale di riferimento
Slides and handouts will be uploaded on the ARIEL website.
Modalità di verifica dell’apprendimento e criteri di valutazione
The final assessment is based on problem sets and a final written exam, consisting of exercises and/or open questions and/or multiple choices questions.
Docente/i