Numerical methods in economics (Book, 1998) [WorldCat.org]
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Numerical methods in economics

Author: Kenneth L Judd
Publisher: Cambridge, Mass. : MIT, 1998
Edition/Format:   Print bookView all editions and formats
Summary:
To harness the full power of computer technology, economists need to use a broad range of mathematical techniques. In this book, Kenneth Judd presents techniques from the numerical analysis and applied mathematics literatures and shows how to use them in economic analyses.
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Document Type: Book
All Authors / Contributors: Kenneth L Judd
ISBN: 0262100711 9780262100717
OCLC Number: 464528138
Awards: Winner of Honorable Mention in the category of Economics in the 1998 Professional/Scholarly Publishing Annual Awards Competition presented by the Association of American Publishers, Inc. 1998
Description: xiii, 633 s
Contents: Part 1 Introduction: introduction; elementary concepts in numerical analysis. Part 2 Basics from numerical analysis on Rn: linear equations and iterative methods; optimization; nonlinear equations; approximation methods; numerical integration and differentiation; Monte Carlo and simulation methods; quasi-Monte Carlo methods. Part 3 Numerical methods for functional problems: finite-difference methods; projection methods for functional equations; numerical dynamic programming. Part 4 Perturbation methods: regular perturbation of simple systems; regular perturbations in multidimensional systems; advanced asymptotic methods. Part 5 Applications to dynamic equilibrium analysis; solution methods for perfect foresight models; solving rational expectations models.

Abstract:

To harness the full power of computer technology, economists need to use a broad range of mathematical techniques. In this book, Kenneth Judd presents techniques from the numerical analysis and applied mathematics literatures and shows how to use them in economic analyses.

The book is divided into five parts. Part 1 provides a general introduction. Part II presents basics from numerical analysis of R to the n, including linear equations, approximation methods, numerical integration and differentiation, and Monte Carlo methods. Part III covers methods for dynamic problems, including finite difference methods, projection methods, and numerical dynamic programming. Part VI covers peturbation and asymptotic solution methods. Finally, Part V covers applications to dynamic equilibrium analysis, including solution methods for perfoct foresight models and rational expectation models. A web site contains supplementary material including programs and answers to exercises.

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