Dynamic General Equilibrium Modeling: Computational Methods and Applications

Presents various methods for computing the dynamics of general equilibrium models In part I, the representative-agent stochastic growth model is solved with the help of value function iteration, linear and linear quadratic approximation methods, parameterised expectations and projection methods In order to apply these methods, fundamentals from numerical analysis are reviewed in detail Part II discusses methods for solving heterogeneous-agent economies