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Overview

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 ...

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Computational Economics

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Overview

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
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Editorial Reviews

Journal of Artificial Societies and Social Simulation - Pietro Terna
Important and useful. . . . [T]his book represents an excellent way to learn computational economics, doing it.
From the Publisher
"Important and useful. . . . [T]his book represents an excellent way to learn computational economics, doing it."—Pietro Terna, Journal of Artificial Societies and Social Simulation

Journal of Artificial Societies and Social Simulation
Important and useful. . . . [T]his book represents an excellent way to learn computational economics, doing it.
— Pietro Terna
Read More Show Less

Product Details

  • ISBN-13: 9781400841349
  • Publisher: Princeton University Press
  • Publication date: 10/23/2011
  • Sold by: Barnes & Noble
  • Format: eBook
  • Edition description: Course Book
  • Pages: 456
  • File size: 9 MB

Meet the Author

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.
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Table of Contents

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

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