Applied Computational Economics and Finance | 
 enlarge | Authors: Mario J. Miranda, Paul L. Fackler
Publisher: The MIT Press
Category: Book
List Price: $80.00
Buy New: $57.58
You Save: $22.42 (28%)
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Rating:  6 reviews
Sales Rank: 345734
Media: Hardcover
Pages: 512
Number Of Items: 1
Shipping Weight (lbs): 2
Dimensions (in): 9 x 6.9 x 1
ISBN: 0262134209
Dewey Decimal Number: 330.0151
EAN: 9780262134200
Publication Date: September 16, 2002
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Condition: Brand new item. Over 4 million customers served. Order now. Selling online since 1995. Few left in stock - order soon. Code: M20081113105712T
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Product Description
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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| Customer Reviews: Read 1 more reviews...
 Fantastic book! September 17, 2003
9 out of 11 found this review helpful
This book is a must for economists or financial engineers. I used the book in a course and refer to it often now that I work in the industry. The Matlab examples are also excellent.
Excellent for economists and financial analysts July 16, 2004
Patrick L. Anderson (Michigan USA)
9 out of 11 found this review helpful
This is one of the few books that covers the topics of numerical methods to solve finance and economics problems. It provides a large number of generic applications.Readers that can use Matlab will especially benefit. If so, be sure to get the author's toolbox and see the errata on the author's page. There are two other books that might be useful to those interested in this text: Dixit and Pindyck's Investment Under Uncertainty (1994), and Patrick Anderson's Business Economics and Finance (2004) [my book], which cites the Dixit and Miranda texts. Readers should be prepared for some math, although it is much more accessible here than in most graduate texts in financial mathematics.
Applied Computation Economics and Finance October 13, 2007
M. Acosta (Columbus, Ohio)
1 out of 1 found this review helpful
This is a really good book in numerical methods. It goes step by step and has exercises you can do while reading the book that help you not only understand the topics and do it yourself, but apply numerical methods to every-day problems.
Excellent introduction to computational economics February 5, 2008
Carlos R. Madeira
In Economics I often find it difficult to write the codes that replicate the models in many papers. This book is an excellent introduction to computational economics and for actually solving things in Matlab.
 Good but ... March 26, 2006
CSA (Chicago, IL)
3 out of 5 found this review helpful
I was looking for a book that teaches how to use MATLAB to solve certain finance and economics problems, and purchased this book. The book covers very interesting topics and discusses many types of solution methods. However, the applications to MATLAB are not presented in a user-friendly way. In particular, they do not present things in a step-by-step manner and assume many things. The reader is then left to figure out how to complete programs either from some other part of the book or from prior knowledge. Thus, the book is successful in letting the reader become aware of the capabilities of MATLAB (i.e. what sort of computational techniques the program can do). However, it would havae been best if the authors wrote all the programs with complete codes. They often mention that the code assumes that the reader does this and does that.
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