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Matlab Code For Applied Computational Economics and Finance (MIT Press)

Matlab Code For Applied Computational Economics and Finance (MIT Press)

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AppliedComputationalEconomicsandFinanceMarioJ.Miranda&PaulL.FacklerTheOhioStateUniversity&NorthCarolinaStateUniversityMITPress,2002这是一本经典的为经济金融博士生准备的数学教材所配套的Matla ...
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Applied Computational Economics and Finance
Mario J. Miranda & Paul L.Fackler
The Ohio State University & NorthCarolina State University
MIT Press, 2002
这是一本经典的为经济金融博士生准备的数学教材所配套的Matlab代码。书内所有例题均附有matlab程序码哦!对于微观经济理论和宏观经济编程都非常有帮助哦~看下列大头们的评论就知道了~
Review "One of this book's many strengths is its structure, the way theory-based chapters alternate with analytical ones. This will make it an invaluable resource in the classroom."--Thomas J. Sargent, Hoover Institution, Stanford University
"This book is an important contribution to the rapidly growing literature on computational economics and finance. It provides an extremely well integrated presentation of dynamic economic models and some of the most effective numerical methods for solving them. It reinforces these ideas by providing illustrative solutions written in Matlab. This book should enable most people who do not have extensive prior background in computation to understand the key methods and ideas, and to actually begin applying these methods to their own problems. I think it will be an essential part of the toolkit of the applied practitioner in economics or finance."
—John Rust, Professor of Economics, University of Maryland
[tr][/tr]




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

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