下载Applied Computational Economics and Financ

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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.About the AuthorsMario 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.

	xv
1.	Introduction	1
2.	Linear Equations and Computer Basics	7
3.	Nonlinear Equations and Complementarity Problems	29
4.	Finite-Dimensional Optimization	59
5.	Numerical Integration and Differentiation	85
6.	Function Approximation	115
7.	Discrete Time, Discrete State Dynamic Models	155
8.	Discrete Time, Continuous State Dynamic Models: Theory and Examples	189
9.	Discrete Time, Continuous State Dynamic Models: Methods	223
10.	Continuous Time Models: Theory and Examples	311
11.	Continuous Time Models: Solution Methods	371
	Appendix A: Mathematical Background	459
	Appendix B: A MATLAB Primer	477
	References	493
	Index	49

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