This course focuses on intertemporal problems, which are a building block of many economic models, both in microeconomics (e.g. intertemporal consumer theory, life-cycle theories) and in macroeconomics (e.g. growth theory).
The first part of the course provides an introduction to dynamic optimization methods in continuous and discrete time (optimal control problems, Hamilton-Jacobi-Bellman equations and Bellman equations).
The second part of the course teaches how to use the Mathematica software to solve dynamic optimization problems.
No prior knowledge is required, but prior exposure to optimal control methods and dynamic optimization is helpful.
For the second part of the course, bring your laptop and install Mathematica (trial version here).
1. Intertemporal choice
2. Optimal control, Hamilton-Jacobi-Bellman equations (continuous time), Bellman equations (discrete time)
3. Mathematica: an introduction
4. Optimal control using Mathematica
We will replicate the results contained in: