Dynamic General Equilibrium Modelling: Computational Methods and Applications

by Burkhard Heer

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 analysis are reviewed in detail. Part II discusses methods for solving heterogeneous-agent economies. In such economies, the distribution of the individual state variables is endogenous. This part of the book also serves as an introduction to the modern theory of distribution economics. Applications include the dynamics of the income distribution over the business cycle or the overlapping-generations model. Through an accompanying home page to this book, computer codes to all applications can be downloaded.
--back cover

Genres: Economics

540 pages, Hardcover

First published January 1, 2005

Reviews

[Mauricio Medinaceli]

Este libro contiene modelos de equilibrio general con uno (o varios) agentes maximizadores y las restricciones usuales. Introduce, como novedad creo yo, la dinámica de agentes heterogéneos. Los autores colaboran mucho haciendo explícitas las condiciones de estado estacionario en varios ejemplos. Muy recomendable.