Computational Economics
Published on 8. January 2006
Book
Hardback
456 pages
978-0-691-12549-7 (ISBN)
Description
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
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
Reviews / Votes
"Important and useful... [T]his book represents an excellent way to learn computational economics, doing it."--Pietro Terna, Journal of Artificial Societies and Social SimulationMore details
Language
English
Place of publication
New Jersey
United States
Target group
Professional and scholarly
College/higher education
Product notice
Trade binding
Illustrations
112 line illus. 36 tables.
Dimensions
Height: 262 mm
Width: 185 mm
Thickness: 30 mm
Weight
948 gr
ISBN-13
978-0-691-12549-7 (9780691125497)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
David A. Kendrick | P. Ruben Mercado | Hans M. Amman
Computational Economics
E-Book
10/2011
1st Edition
Princeton University Press
€173.99
Available for download
Persons
David A. Kendrick is the Yarborough Centennial Professor of Liberal Arts at the University of Texas at Austin. P. Ruben Mercado is Visiting Professor at the University of Texas at Austin. Hans M. Amman is Professor of Computational Economics and Finance at the Technical University of Eindhoven in the Netherlands.
Content
Preface ix Introduction 1 PART I: Once Over Lightly ... Growth Chapter 1: Growth Model in Excel 9 Finance Chapter 2: Neural Nets in Excel 25 Microeconomics Chapter 3: PartIal Equilibrium in Mathematica 37 Chapter 4: Transportation in GAMS 55 Database Chapter 5: Databases in Access 67 Finance Chapter 6: Thrift in GAMS (with Genevieve Solomon) 91 Chapter 7: Portfolio Model in MATLAB 119 PART II: Once More ... Microeconomics Chapter 8: General Equilibrium Models in GAMS 149 Game Theory Chapter 9: Cournot Duopoly in Mathematica (with Daniel Gaynor) 173 Chapter 10: Stackelberg Duopoly in Mathematica (with Daniel Gaynor) 189 Chapter 11: Genetic Algorithms and Evolutionary Games in MATLAB 201 Finance Chapter 12: Genetic Algorithms and Portfolio Models in MATLAB 223 Macroeconomics Chapter 13: Macroeconomics in GAMS 247 Agent-Based Computational Economics Chapter 14: Agent-Based Model in MATLAB 267 Environmental Economics Chapter 15: Global Warming in GAMS 291 Dynamic Optimization Chapter 16: Dynamic Optimization in MATLAB 309 PART III: Special Topic:tochastic Control Stochastic Control Chapter 17: Stochastic Control in Duali 339 Chapter 18: Rational Expectations Macro in Duali 361 APPENDIXES A. Running GAMS 389 B. Running Mathematica 391 C. Running the Solver in Excel 393 D. Ordered Sets in GAMS 394 E. Linearization and State-Space Representation of Hall and Taylor's Model 396 F. Introduction to Nonlinear Optimization Solvers 403 G. Linear Programming Solvers 407 H. The Stacking Method in GAMS 411 I. Running MATLAB 413 J. Obtaining the Steady State of the Growth Model 414 References 417 Index 425