Dynamic General Equilibrium Modelling: Computational Methods and Applications

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Modern business cycle theory and growth theory uses stochastic dynamic general equilibrium models. Many mathematical tools are needed to solve these models. The book 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 ...

Dynamic General Equilibrium Modelling: Computational Methods and Applications 2005, Springer, Berlin, Germany

ISBN-13: 9783540220954

Hardcover

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