A01=David A. Kendrick
A01=Hans M. Amman
A01=P. Ruben Mercado
Addition
Algorithm
Artificial neural network
Author_David A. Kendrick
Author_Hans M. Amman
Author_P. Ruben Mercado
Calculation
Category=KC
Category=UY
Computation
Computational economics
Computer file
Control variable
Covariance matrix
Database
Demand curve
Desire path
Dialog box
Dynamic programming
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Equation
Exchange rate
For loop
General equilibrium theory
Genetic algorithm
Inflation
Initial condition
Initialization (programming)
Interest rate
IS-LM model
Iteration
Iterative method
Linear programming
Linearization
Loss function
Macroeconomic model
Macroeconomics
Mathematica
Mathematical optimization
Mathematics
MATLAB
Monetary policy
Money supply
Monte Carlo method
Newton's method
Nonlinear programming
Numerical analysis
Optimal control
Optimization problem
Parameter
Parameter (computer programming)
Percentage
Percentage Change
Policy analysis
Price level
Production function
Quantity
Rational expectations
Real interest rate
Result
Simulation
Software
Software system
Solver
Spreadsheet
State variable
State-space representation
Stochastic control
Subroutine
Summation
Supply (economics)
Technology
Trade-off
Utility
Variable (computer science)
Variable (mathematics)
Product details
- ISBN 9780691125497
- Weight: 936g
- Dimensions: 178 x 254mm
- Publication Date: 08 Jan 2006
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Hardback
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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
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.
