In Very Good Condition, 540 Pages With The Index, Hardcover. Small Sections Of The Tex Are Highlighted And Underlined.books are NOT signed. We will state signed at the description section. we confirm they are signed via email or stated in the description box. - Specializing in academic, collectiblle and historically significant, providing the utmost quality and customer service satisfaction. For any questions feel free to email us.

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Detalles bibliogr�ficos

T�tulo

Dynamic General Equilibrium Modelling : Computational Methods and Applications

Editor

Springer

Fecha de publicaci�n

2005

Idioma

Ingl�s

ISBN 10

354022095X

ISBN 13

9783540220954

Encuadernaci�n

Hardcover

Edici�n

First Edition.

Estado

Very Good

Cat�logos de vendedores

Children

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Sinopsis

Rare Book

Rese�a del editor

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.

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