We introduce the fundamental methods and toolkit needed to analyze dynamic general equilibrium optimizing models in discrete time. The goal of this course is to provide students with understanding a set of key macroeconomic models and how those can be taken to data. The solution/estimation methods reviewed during the class are applicable in many fields of economics.
- Students understand the mechanics of the relevant models taught.
- They are able to set up and solve standard dynamic macroeconomic models.
- They understand how macro models relate to macro data.
- They know how to use standard software for solving and simulating macro models.
Assessment for the whole 4-credit course is through a final exam and problem sets, the former accounting for 70%, the latter for 30% of the total course grade.
This is a compulsory, core class for first-year PhD students. Enrollment is open to interested second-year MA students as well.