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This book presents a variety of computational methods used to solve dynamic problemsin economics and finance. It emphasizes practical numerical methods rather than mathematical proofsand focuses on techniques that apply directly to economic analyses. The examples are drawn from awide range of subspecialties of economics and finance, with particular emphasis on problems inagricultural and resource economics, macroeconomics, and finance. The book also provides anextensive Web-site library of computer utilities and demonstration programs.The book is divided intotwo parts. The first part develops basic numerical methods, including linear and nonlinear equationmethods, complementarity methods, finite-dimensional optimization, numerical integration anddifferentiation, and function approximation. The second part presents methods for solving dynamicstochastic 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 thealgorithms and includes a utilities toolbox to help readers develop their own computationaleconomics applications.
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Informazioni sull?autore
Paul L. Fackler is Associate Professor, Department of Agricultural and Resource Economics, North Carolina State University.
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Applied Computational Economics and Finance
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Applied Computational Economics and Finance
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