Published November 8, 2005
by Idea Group Publishing .
Written in English
|Contributions||Shu-Heng Chen (Editor), Lakhmi Jain (Editor), Chung-ching Tai (Editor)|
|The Physical Object|
|Number of Pages||318|
The book progresses from relatively simple models to more complex ones, and includes appendices on the ins and outs of running each program. The book is intended for use by advanced undergraduates and professional economists and even, as a first exposure to computational economics, by graduate students. Organized by economic topics. Ken Judd's Numerical Methods in Economics is a classic reference. It provides a thorough grounding in the basic theory of numerically approximating dynamic models in macroeconomics and game theory. It also does a good job glossing the results fr. Computational Economics, the official journal of the Society for Computational Economics, presents new research in a rapidly growing multidisciplinary field that uses advanced computing capabilities to understand and solve complex problems from all branches in topics of Computational Economics include computational methods in econometrics like filtering, . ♥ Book Title: Computational Economics and Finance ♣ Name Author: Hal R. Varian ∞ Launching: Info ISBN Link: ⊗ Detail ISBN code: ⊕ Number Pages: Total sheet ♮ News id: iXFkN_rQC Download File Start Reading ☯ Full Synopsis: "This book/software package divulges the combined knowledge of a whole .
Computational Economics contains well-known models--and some brand-new ones--designed to help students move from verbal to mathematical to computational representations in economic modeling. The authors\' focus, however, is not just on solving the models, but also on developing the ability to modify them to reflect one\'s interest and point of. Book Description. Computational Economics: A concise introduction is a comprehensive textbook designed to help students move from the traditional and comparative static analysis of economic models, to a modern and dynamic computational study. The ability to equate an economic problem, to formulate it into a mathematical model and to solve it. About the Book This is a new book (to be published by Cambridge University Press) about economics and computation, covering topics that are motivated by the consideration of economic incentives within computational systems and by computational considerations in economic systems. Read the latest chapters of Handbook of Computational Economics at , Elsevier’s leading platform of peer-reviewed scholarly literature.
The goal for the project is to allow you to get creative with some of the material in the course. For example, find an interesting problem related to computational economics and discuss how to solve it using LP/MIP (or other techniques). If you have trouble thinking of topics, Vince can help you, but try to come up with your own. Computational Economics: A Concise Introduction is ideal for economics, mathematics, computer science, and engineering majors taking classes in computational or numerical economics. The text is designed to help students move from the traditional and comparative static analysis of economic models, to a modern and dynamic computational study. Computational Economics. Written for undergraduate and graduate economic students and professional economists, this book demonstrates how to conceptualize economic problems, write them as mathematical models, and represent them in software such as MATLAB so the problems can be solved on the computer. Topics covered include macroeconomics. Computational Economics: A Perspective from Computational Intelligence is a part of this series. Computational Economics: A Perspective from Computational Intelligence provides models of various economic and financial issues while using computational intelligence as a foundation. The scope of this volume comprises finance, economics, management Author: Shu-Heng Chen.