Applied Computational Economics and Finance / Edition 1

Applied Computational Economics and Finance / Edition 1

by Mario J. Miranda, Paul L. Fackler, Paul L. Fackler, Paul Fackler
     
 

This book presents a variety of computational methods used to solve dynamic problems in economics and finance. It emphasizes practical numerical methods rather than mathematical proofs and focuses on techniques that apply directly to economic analyses. The examples are drawn from a wide range of subspecialties of economics and finance, with particular emphasis on

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Overview

This book presents a variety of computational methods used to solve dynamic problems in economics and finance. It emphasizes practical numerical methods rather than mathematical proofs and focuses on techniques that apply directly to economic analyses. The examples are drawn from a wide range of subspecialties of economics and finance, with particular emphasis on problems in agricultural and resource economics, macroeconomics, and finance. The book also provides an extensive Web-site library of computer utilities and demonstration programs.The book is divided into two parts. The first part develops basic numerical methods, including linear and nonlinear equation methods, complementarity methods, finite-dimensional optimization, numerical integration and differentiation, and function approximation.

The second part presents methods for solving dynamic stochastic models in economics and finance, including dynamic programming, rational expectations, and arbitrage pricing models in discrete and continuous time. The book uses MATLAB to illustrate the algorithms and includes a utilities toolbox to help readers develop their own computational economics applications.

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Product Details

ISBN-13:
9780262633093
Publisher:
MIT Press
Publication date:
09/01/2004
Edition description:
New Edition
Pages:
528
Product dimensions:
7.00(w) x 9.00(h) x 0.68(d)
Age Range:
18 Years

Meet the Author

Mario J. Miranda is Professor and Chair of Graduate Studies, Department of Agricultural, Environmental, and Development Economics, Ohio State University.

Paul L. Fackler is Associate Professor, Department of Agricultural and Resource Economics, North Carolina State University.

Table of Contents

Preface
1Introduction1
2Linear Equations and Computer Basics7
3Nonlinear Equations and Complementarity Problems29
4Finite-Dimensional Optimization59
5Numerical Integration and Differentiation85
6Function Approximation115
7Discrete Time, Discrete State Dynamic Models155
8Discrete Time, Continuous State Dynamic Models: Theory and Examples189
9Discrete Time, Continuous State Dynamic Models: Methods223
10Continuous Time Models: Theory and Examples311
11Continuous Time Models: Solution Methods371
App. AMathematical Background459
App. BA MATLAB Primer477
References493
Index499

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