Free PDF Applied Computational Economics and Finance, by Mario J. Miranda, Paul L. Fackler
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Applied Computational Economics and Finance, by Mario J. Miranda, Paul L. Fackler
Free PDF Applied Computational Economics and Finance, by Mario J. Miranda, Paul L. Fackler
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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.
- Sales Rank: #2120828 in Books
- Published on: 2002-09-16
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x .69" w x 7.00" l, 2.01 pounds
- Binding: Hardcover
- 512 pages
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 UniversityPlease note: Note slight change to quote and to institutional affiliation. Apologies for the many recirculations. Thanks!
About the Author
Mario 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.
Most helpful customer reviews
4 of 7 people found the following review helpful.
Good but ...
By C. Ang
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.
0 of 0 people found the following review helpful.
Practical and theoretical
By O. Y. Parra
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.
0 of 0 people found the following review helpful.
Great book for neumerical analysis
By afeef745
I used this book for a course taught in my Graduate studies. This book makes understanding concepts so much easy, and is very readable as well. It provides examples with codes written to carry out the examples as well. The end-of-chapter exercises are also helpful and relevant. A must purchase for any economics students interested in Computational and neumerical economics.
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