Applied Computational Economics and Finance

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

Book 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.

• Format: Hardcover
• Language: English
• ISBN: 0262134209
• ISBN13: 9780262134200
• Release Date: September 2002
• Publisher: Mit Pr
• Length: 512 Pages
• Weight: 2.05 lbs.
• Dimensions: 10.0" x 0.8" x 7.8"

Customer Reviews

Practical and theoretical

What I like about this book is that it combines theory, with Matlab code to practice. Besides, the theory of numerical analysis is treated in a very focused way, so you won't be learning very abstract stuff, instead, you will learn the basic theory needed to understand how numerical analysis helps in economics and finance. I took the course given by the author Mario Miranda, that also helped a lot. The CompEcon toolbox for Matlab is EXTREMELY useful.

Excellent introduction to computational economics

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.

Applied Computation Economics and Finance

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 for economists and financial analysts

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.

Fantastic book!

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.