Book

Computational Methods for the Study of Dynamic Economies

Edited by Ramon Marimon and Andrew Scott

Published in print October 2001 | ISBN: 9780199248278
Published online November 2003 | e-ISBN: 9780191596605 | DOI: https://dx.doi.org/10.1093/0199248273.001.0001
Computational Methods for the Study of Dynamic Economies

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Macroeconomics increasingly uses stochastic dynamic general equilibrium models to understand theoretical and policy issues. Unless very strong assumptions are made, understanding the properties of particular models requires solving the model using a computer. This volume brings together leading contributors in the field who explain in detail how to implement the computational techniques needed to solve dynamic economics models. It is based on lectures presented at the 7th Summer School of the European Economic Association on computational methods for the study of dynamic economies, held in 1996. A broad spread of techniques is covered, and their application to a wide range of subjects discussed. The book provides the basics of a tool kit that researchers and graduate students can use to solve and analyse their own theoretical models. It is oriented towards economists who already have the equivalent of a first year of graduate studies or to any advanced undergraduates or researchers with a solid mathematical background. No competence with writing computer codes is assumed. After an introduction by the editors, it is arranged in three parts: I Almost linear methods; II Nonlinear methods; and III Solving some dynamic economies.

Keywords: computational economics; dynamic economics models; dynamic economies; general equilibrium models; linear models; Macroeconomics; mathematical models; nonlinear models; stochastic dynamic general equilibrium models

Book.  292 pages.  Illustrated.

Subjects: Macroeconomics and Monetary Economics

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Table of Contents

Introduction: From Pipeline Economics to Computational Economics in Computational Methods for the Study of Dynamic Economies

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Linear Quadratic Approximations: An Introduction in Computational Methods for the Study of Dynamic Economies

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A Toolkit for Analysing Nonlinear Dynamic Stochastic Models Easily in Computational Methods for the Study of Dynamic Economies

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Discrete State‐Space Methods for the Study of Dynamic Economies in Computational Methods for the Study of Dynamic Economies

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Application of Weighted Residual Methods to Dynamic Economic Models in Computational Methods for the Study of Dynamic Economies

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The Parameterized Expectations Approach: Some Practical Issues in Computational Methods for the Study of Dynamic Economies

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Finite‐Difference Methods for Continuous‐Time Dynamic Programming in Computational Methods for the Study of Dynamic Economies

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Optimal Fiscal Policy in a Linear Stochastic Economy in Computational Methods for the Study of Dynamic Economies

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Computing Models of Social Security in Computational Methods for the Study of Dynamic Economies

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