Computational Economics / / P. Ruben Mercado, Hans M. Amman, David A. Kendrick.

The ability to conceptualize an economic problem verbally, to formulate it as a mathematical model, and then represent the mathematics in software so that the model can be solved on a computer is a crucial skill for economists. Computational Economics contains well-known models--and some brand-new o...

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013
VerfasserIn:
Place / Publishing House:Princeton, NJ : : Princeton University Press, , [2011]
©2006
Year of Publication:2011
Language:English
Online Access:
Physical Description:1 online resource (456 p.) :; 112 line illus. 36 tables.
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Other title:Frontmatter --
Contents --
Preface --
Introduction --
PART I. Once Over Lightly . . . --
1. Growth Model in Excel --
2. Neural Nets in Excel --
3. Partial Equilibrium in Mathematica --
4. Transportation in GAMS --
5. Databases in Access --
6. Thrift in GAMS (with Genevieve Solomon) --
7. Portfolio Model in MATLAB --
PART II. Once More . . . --
8. General Equilibrium Models in GAMS --
9. Cournot Duopoly in Mathematica --
10. Stackelberg Duopoly in Mathematica --
11. Genetic Algorithms and Evolutionary Games in MATLAB --
12. Genetic Algorithms and Portfolio Models in MATLAB --
13. Macroeconomics in GAMS --
14. Agent-Based Model in MATLAB --
15. Global Warming in GAMS --
16. Dynamic Optimization in MATLAB --
PART III. Special Topic: Stochastic Control --
17. Stochastic Control in Duali --
18. Rational Expectations Macro in Duali --
Appendixes --
References --
Index
Summary:The ability to conceptualize an economic problem verbally, to formulate it as a mathematical model, and then represent the mathematics in software so that the model can be solved on a computer is a crucial skill for economists. 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 view. The result is a book that enables students to be creative in developing models that are relevant to the economic problems of their times. Unlike other computational economics textbooks, this book is organized around economic topics, among them macroeconomics, microeconomics, and finance. The authors employ various software systems--including MATLAB, Mathematica, GAMS, the nonlinear programming solver in Excel, and the database systems in Access--to enable students to use the most advantageous system. 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 Progresses from simple to more complex models Includes instructions on numerous software systems Encourages customization and creativity
Format:Mode of access: Internet via World Wide Web.
ISBN:9781400841349
9783110442502
DOI:10.1515/9781400841349?locatt=mode:legacy
Access:restricted access
Hierarchical level:Monograph
Statement of Responsibility: P. Ruben Mercado, Hans M. Amman, David A. Kendrick.