Skip to main content

Dynamic General Equilibrium Modelling

Computational Methods and Applications

  • Textbook
  • © 2005

Overview

  • Introduction to the use of numerical methods for solving dynamic general equilibrium models
  • Applicable to the models most widely used in modern macroeconomics / monetary economics
  • Algorithms and program codes provided on an accompanying website
  • Includes supplementary material: sn.pub/extras

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 59.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (9 chapters)

  1. Heterogeneous Agent Models

  2. Tools

Keywords

About this book

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.

Authors and Affiliations

  • School of Economics and Management, Free University of Bolzano-Bozen, Bolzano, Italy

    Burkhard Heer

  • Department of Economics, University of Augsburg, Augsburg

    Alfred Maußner

Bibliographic Information

Publish with us