This book presents a variety of computational methods used to solve dynamic problems in economics and finance.
It emphasizes practical numerical methods rather than mathematical proofs and focuses on techniques that apply
directly to economic analyses. The examples are drawn from a wide range of subspecialties of economics and finance,
with particular emphasis on problems in agricultural and resource economics, macroeconomics, and finance. The book
also provides an extensive Web-site library of computer utilities and demonstration programs.
The book is divided into two parts. The first part develops basic numerical methods, including linear and nonlinear
equation methods, complementarity methods, finite-dimensional optimization, numerical integration and differentiation,
and function approximation. The second part presents methods for solving dynamic stochastic models in economics
and finance, including dynamic programming, rational expectations, and arbitrage pricing models in discrete and
continuous time. The book uses MATLAB to illustrate the algorithms and includes a utilities toolbox to help readers
develop their own computational economics applications.