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Dynamic General Equilibrium Modelling

Computational Methods and Applications

Authors: Heer, Burkhard, Maussner, Alfred

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About this Textbook

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.

Table of contents (9 chapters)

Table of contents (9 chapters)
  • Basic Models and Elementary Algorithms

    Pages 3-84

  • Linear Quadratic and Linear Approximation Methods

    Pages 85-153

  • Parameterized Expectations

    Pages 155-196

  • Projection Methods

    Pages 197-236

  • Computation of Stationary Distributions

    Pages 239-295

Buy this book

eBook $59.99
price for USA in USD
  • ISBN 978-3-540-27312-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
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Bibliographic Information

Bibliographic Information
Book Title
Dynamic General Equilibrium Modelling
Book Subtitle
Computational Methods and Applications
Authors
Copyright
2005
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-27312-7
DOI
10.1007/b138909
Edition Number
1
Number of Pages
XX, 540
Number of Illustrations
63 b/w illustrations
Topics