This course teaches key methods for solving modern macroeconomic models, including those able to account for agent heterogeneity. Participants will obtain detailed theoretical knowledge of and hands-on experience with linearization techniques, non-linear solution methods and approaches for solving heterogeneous agent models with and without aggregate uncertainty.
TOPICS COVERED:
- Linearization, perturbation and Dynare
- Non-linear solution methods: Projection and value function iteration
- Solving heterogeneous agent models: Without and with aggregate uncertainty
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Who is the Course for?
The target audience for this course is Graduate Students completing a PhD or MPhil in Economics, and professionals working in central banks and international institutions in research. For a definitive ranking of the mathematical, theoretical and coding skills needed for this course, please view the brochure.
Choose to follow the Macroeconomics Pathway to deepen your knowledge of Macroeconomics with courses in Behavioural Macroeconomics (morning session) and Solution Methods for Macroeconomic Models (afternoon session). Or mix and match, choosing different morning or afternoon sessions from our other pathways: Applied Microeconomics or Econometrics.