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Numerical methods in economics / Kenneth L. Judd.

By: Judd, Kenneth L.
Material type: TextTextPublisher: Cambridge, Mass. : MIT Press, 1998Description: xiii, 633 p. : ill. ; 24 cm.ISBN: 0262100711 (hc).Subject(s): Economics -- Statistical methodsDDC classification: 330.015195 JUN Online resources: OCLC | Ebook Fulltext
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.
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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Includes bibliographical references (p. [609]-622) and index.

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.

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.

Economics

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